CN106404443B - Hybrid power hoisting apparatus failure indicates platform and its data sample acquisition methods - Google Patents
Hybrid power hoisting apparatus failure indicates platform and its data sample acquisition methods Download PDFInfo
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- CN106404443B CN106404443B CN201610899983.6A CN201610899983A CN106404443B CN 106404443 B CN106404443 B CN 106404443B CN 201610899983 A CN201610899983 A CN 201610899983A CN 106404443 B CN106404443 B CN 106404443B
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Abstract
The invention discloses a kind of hybrid power hoisting apparatus failure to indicate platform, fault simulation brakes collection pressure signal data and fluid signal data of the platform based on hybrid power hoisting apparatus, the acquisition of pressure signal data is when simulating different fault modes in brakes, passes through the sensor collecting sample signal in diverse location；Collection for fluid signal data, then mainly by the sample tap on hydraulic cylinder taken at regular intervals oil sample, fundamental analysis, data prediction and fuzzy clustering data are carried out to oil sample and simplified；Then, above-mentioned pressure signal data and fluid signal data are subjected to analog-to-digital conversion；Finally, later data sample will be handled and host computer carries out data exchange, analysis and storage.The present invention is merged using multi-sensor collection and a variety of oil analysis methods, obtains more accurate, comprehensive pressure signal and fluid information, and data support is provided for the checking of various fault diagnosises and prediction algorithm.
Description
Technical field
The invention belongs to hybrid power hoisting apparatus fault diagnosis technology field, especially a kind of hybrid power hoisting apparatus
Failure indicates platform and its data sample acquisition methods.
Background technology
Hybrid power hoisting apparatus of the prior art typically works in environment complexity and rugged environment, is examined in signal
During survey, fault-signal is easily subject to environmental disturbances, is easily flooded by various noises, hydraulic system fault has hidden in addition
The features such as covering property, diversity, randomness and causality complexity, failure mechanism complexity is various, the event that single-sensor provides
It is that barrier characteristic information often obscures, incomplete and uncertain, sometimes even wrong, therefore it can not provide system fortune
Complete status information during row.In order to which the later stage can be realized to the exact failure diagnosis comprehensively of hybrid power hoisting apparatus,
Make diagnostic system that there is higher precision, reliability, then need to comprehensively utilize multisensor acquisition multichannel fault-signal, so obtain
The data on test environment that the data sample generation obtained obtains than single-sensor, which have, more comprehensively and reasonably to be explained.
Most plant equipment is all lubricated using lubricating oil or other lubricants, and these fluid follow inside machine
Ring, the information containing abundant relevant body operation conditions as the blood of human body can be with by oil liquid detection analysis method
Extract the information of the equipment operation situation included in lubricating oil.Current oil analyzing technology generally use analyzing iron spectrum, light
Spectrum analysis, physico-chemical analysis method, although these technologies respectively have feature, the scope of application, single analysis means, it is impossible to completely carry
The characteristic parameter in fluid is taken out, so we are contrasted the analysis result that these technologies obtain, by mutually verifying
To best data sample.Analytical technology comprehensively utilizes, and can extract complete useful feature data, the operation shape to equipment
Condition has more rich diagnostic data, is established for the later stage based on the fault diagnosis Artificial Immune Algorithm and reasoning by cases on oil analysis
Mechanism etc. contributes.
At present, extract problem for fault-signal, all have in practice or in theory more ripe technology and
Achievement.It is devoted to hybrid power hoisting apparatus and intelligent algorithm being combined now both at home and abroad, is preferably realized using algorithm
Diagnosis and prediction to large-scale dynamoelectric equipment failure, and, it is necessary to accurate data sample in the checking of algorithm.It is and current
Data sample as offer is mostly single data, and the more difficult acquisition in actual job, therefore, hybrid power hoisting apparatus therefore
The data sample that barrier indication experiment porch can provide just is provided with realistic meaning.
The content of the invention
For overcome the deficiencies in the prior art, the invention provides a kind of hybrid power hoisting apparatus failure to indicate platform,
The platform can be that the checking of various fault diagnosises and prediction algorithm provides pressure signal sample data and fluid message sample
Data, the fault diagnosis and prediction that can be carried out for later stage intelligent algorithm provide more comprehensively data support.
To achieve these goals, the technical solution adopted by the present invention is：A kind of hybrid power hoisting apparatus failure indication
Platform, it is characterised in that：Including signal gathering unit, fault simulation brakes, signal AD conversion unit, host computer, letter
Number collecting unit is connected with fault simulation brakes, and signal gathering unit output end is connected with signal AD conversion unit, letter
Number AD conversion unit output signal is transferred to host computer,
The fault simulation brakes includes
Power supply device, including supply, adjust energy needed for braking and improve the hydraulic cylinder for passing energy medium state, hydraulic cylinder
In be provided with hydraulic cylinder be divided into the piston of hydraulic cavities and plunger shaft, piston one end is stretched out outside hydraulic cylinder by piston rod, piston
The other end is provided with spring, and piston rod and spring are located in hydraulic cavities and plunger shaft respectively；
Control device, including produce braking maneuver and control the brake pedal of braking effect；
Transmission device, including braking energy is transferred to the vacuum booster pump and master cylinder of brake；
Brake, including the brake disc and brake shoe of the power for hindering hoisting apparatus braking motion or movement tendency are produced, braking
Brake clearance is left between disk and brake shoe, brake shoe is connected by brake disc with piston rod；
Brake pedal is connected by the vacuum booster pump with master cylinder, and master cylinder passes through oil pipe and the liquid of hydraulic cylinder
Chamber connection is pressed, piston rod one end is stretched out outside hydraulic cavities to be connected with brake disc,
The signal gathering unit includes oil pressure sensor, pressure sensor, displacement transducer and spring base sensor,
Oil pressure sensor is installed in the hydraulic cavities of hydraulic cylinder, and the spring in hydraulic cylinder is installed on piston by spring back seat
In chamber, spring base sensor is installed in spring back seat, and fluid sample tap is additionally provided with the hydraulic cavities of hydraulic cylinder,
Displacement transducer is installed on brake disc top,
Pressure sensor is installed on end face of the brake disc towards brake shoe, and pressure sensor is located in brake clearance.
Further, institute's displacement sensors, pressure sensor, oil pressure sensor and spring base sensor are respectively arranged in
4 pressure signal measuring points, 4 pressure signal measuring points be respectively distributed to brake disc top, brake disc surface, inside hydraulic cylinder, spring
At bottom, the pressure signal point position smears high temperature resistant vacuum grease, displacement sensing through being polished into smooth flat, smooth flat
Device, pressure sensor, oil pressure sensor and spring base sensor contact with respective pressure signal point position respectively, displacement sensing
Device is fixed on brake disc by support, and pressure sensor and oil pressure sensor are fixed through high-intensity magnetic seat respectively, spring base sensing
Device is embedded in the cavity of spring back seat.
Goal of the invention two：Present invention also offers a kind of hybrid power hoisting apparatus fault data sample acquiring method, its
It is characterised by, including pressure signal data sample fetching portion and fluid signal data sample acquisition part,
The pressure signal data sample fetching portion comprises the following steps：1. it is pre- to establish hybrid power hoisting apparatus failure
Show platform, 2. by pressure signal measuring point be distributed in brake disc top, brake disc surface, inside hydraulic cylinder, spring bottom, in 4 pressures
Displacement transducer, pressure sensor, oil pressure sensor and spring base sensor are installed respectively, 3. simulated failure at force signal measuring point
3 kinds of the normal of simulating brake system, failure, catastrophe failure patterns, and gather displacement transducer, pressure respectively under 3 kinds of patterns
Three groups of sample datas of sensor, oil pressure sensor and spring base sensor, the data that 4. will be collected under 3 kinds of fault modes
Sample delivery is completed after analog-to-digital conversion and host computer carries out data exchange, analysis and storage to signal AD conversion unit；
The fluid signal data sample acquisition part comprises the following steps：1. periodically obtained from the fluid sample tap of hydraulic cylinder
Hydraulic cylinder fluid is taken, 2. to the carry out oil analysis of the oil sample of collection, 3. the data that oil analysis measures is pre-processed, picked
Except the human error in data, reduce influence of the observation error to data, remove noise, exclude the external interference of data analysis because
Element, extracts useful feature information, and pretreatment comprises the following steps：
The processing of a spectral analysis datas：Centralization, the normalization of spectroscopic data；
The smoothing processing of b data：Moving average method, Savitsky-Golay methods；
The amendment of c exceptional values：The hypothesis testing method being distributed using F, calculates confidential interval, to the data sample point of collection by
It is individual to check whether as exceptional value；
The replacement of d exceptional values：First calculate the average value for deleting the remaining sample after abnormity point oneself, by sample average with
Amendment numerical value of the difference of the former point sample collection value of exceptional value as abnormity point；Wherein ZKExceptional value correction value；ZK-1Exceptional value
The observation of the previous normal sample point of point or the value for having been subjected to amendment；E(ZNormally) remove the sample average after outlier；
Zk=2E (ZNormally)-ZK-1
4. carrying out fuzzy clustering data simplification to the data obtained after pretreatment, the phase between the attribute of each data is utilized
It is grouped like degree, fuzzy clustering packet is carried out to characteristic parameter in fluid, selects the similar classification of attribute, it is specific as follows：
A selects all U={ x of object to be sorted1,x2,,,xn, wherein n is the number for being classified object, wherein xiIt is
The sample of object of classification, each sample are divided by m index again, xi'={ xi1’,xi2’,...,xim', so obtain original number
According to matrix, X '=(xij') nxm,
B data normalizations, are standardized using equation below,
By standardizing achievement data Xij[0,1] closed interval is compressed in, obtains normalized matrix,
C determines the similarity relation matrix R on U, using quantity area method, index Similar operator, mean gap method, average several
In what minimum value method any one or more method,
D seeks fuzzy equivalent matrix, and fuzzy similarity matrix R minimum closure, that is, R2k=Rk are obtained by quadratic method.
E is clustered, and is obtained similar matrix using subtrabend's absolute value method, is further obtained minimum delivered Closure Matrix, in the square
Appropriate λ ∈ [0,1] are selected in battle array, object is classified,
5. the data sample after fuzzy clustering is simplified is transferred to signal AD conversion unit, complete after analog-to-digital conversion and upper
Position machine carries out data exchange, analysis and storage.
Further, the step of fluid signal data sample acquisition part is 2. middle carries out oil using three kinds of analysis means
Liquid is analyzed, and a is analyzed using conventional physico-chemical properties, experimental analysis is done to the physical and chemical index of the oil sample of collection, mainly for oil
The parameters such as the viscosity of sample, pH-value, moisture, flash-point；B uses analyzing iron spectrum, isolates in oil sample and grinds in high-gradient intense magnetic field
Particle is damaged, by monitoring instrument check analysis, extracts the classification of abrasive particle and the information of quantity；C uses spectrum analysis, to detect
Launch the metal types and content of specific wavelength, provide the concentration levels of various elements content in fluid.
Using such scheme, for the present invention compared with tradition obtains data method, the experiment porch passes through fault simulation module
Change fault mode so that data sample is comprehensive；And different sensors is installed in different pressure signal measuring points and passed through
Multiple means carry out oil analysis so that are stored in the sample data of host computer more accurately and reliably.
The invention will be further described below in conjunction with the accompanying drawings.
Brief description of the drawings
Accompanying drawing 1 is specific embodiment of the invention hybrid power tyre crane brake system structure schematic diagram；
Accompanying drawing 2 is specific embodiment of the invention simulated failure graph of a relation；
Accompanying drawing 3 is specific embodiment of the invention fluid information acquiring portion graph of a relation；
Accompanying drawing 4 is specific embodiment of the invention fluid message sample data acquisition block diagram；
Brake pedal 1, vacuum booster pump 2, master cylinder 3, oil pipe 31, hydraulic cylinder 4, sample tap 41, piston 42, piston rod
43rd, butterfly spring 5, spring base 51, spring base sensor 61, pressure sensor 62, displacement transducer 63, oil pressure sensor 64,
Brake shoe 71, brake disc 72, brake clearance 73, brake disc 8.
Embodiment
The specific embodiment of the present invention is hybrid power hoisting apparatus failure indication platform as Figure 1-4, and it includes letter
Number collecting unit, fault simulation brakes, signal AD conversion unit, host computer, signal gathering unit and fault simulation system
Dynamic system connection, signal gathering unit output end are connected with signal AD conversion unit, signal AD conversion unit output signal
It is transferred to host computer,
Fault simulation brakes includes hydraulic cylinder 4, brake pedal 1, vacuum booster pump 2, master cylinder 3, the and of brake disc 8
Brake shoe 71, the piston 42 that hydraulic cylinder 4 is divided into hydraulic cavities and plunger shaft is provided with hydraulic cylinder 4, the one end of piston 42 passes through piston rod
43 stretch out outside hydraulic cylinder 4, and the other end of piston 42 is provided with butterfly spring 5, and piston rod 43 and spring are located at hydraulic cavities and work respectively
Fill in chamber；
Brake clearance 73 is left between brake disc 8 and brake shoe 71, brake shoe 71 is connected by brake disc 72 with piston rod 43；
Brake pedal 1 is connected by vacuum booster pump 2 with master cylinder 3, and master cylinder 3 passes through oil pipe 31 and hydraulic cylinder 4
Hydraulic cavities connection, the one end of piston rod 43 stretch out hydraulic cavities outside is connected with brake disc 72,
Signal gathering unit includes oil pressure sensor 64, pressure sensor 62, displacement transducer 63 and spring base sensor
61,
Oil pressure sensor 64 is installed in the hydraulic cavities of hydraulic cylinder 4, and the butterfly spring 5 in hydraulic cylinder 4 passes through spring back seat
It is installed in plunger shaft, spring base sensor 61 is installed in spring back seat, and fluid sampling is additionally provided with the hydraulic cavities of hydraulic cylinder 4
Mouth 41,
Displacement transducer 63 is installed on the top of brake disc 72,
Pressure sensor 62 is installed on brake disc 8 and is located at brake clearance 73 towards the end face of brake shoe 71, pressure sensor 62
In.
Further, displacement transducer 63, pressure sensor 62, oil pressure sensor 64 and spring base sensor 61 are pacified respectively
Loaded on 4 pressure signal measuring points, 4 pressure signal measuring points are respectively distributed to the top of brake disc 72, the surface of brake disc 8, in hydraulic cylinder 4
At portion, spring bottom, different types of sensor detection brakes is installed in these positions in band-type brake and during declutching
Pressure signal, for obtaining pressure of the critical piece such as brake disc 8, hydraulic cylinder 4 and butterfly spring 5 under different faults pattern
Signal data sample.Pressure sensor 62 and spring base sensor 61 are all easy for installation and easily change foil gauge, wherein, pressure passes
Sensor 62 has certain impact resistance to the pressure fluctuation caused by the external force such as hydraulic pump.The installation side of above-mentioned each sensor
Formula mainly polishes smooth the point position surface with sensor contacts, then applies and spreads resistant to elevated temperatures vacuum grease, makes sensing
Device directly contacts with measured object surface, is fixed with high intensity magnet base, and disc spring seat sensor is because and after butterfly spring
Seat shape is coincide, so being directly positioned on the back seat of butterfly spring 5；Displacement transducer 63 also can be fixed on brake shoe by support
On 71 liner plates, sensor surface can measure lock indirectly by measuring end face parallel to brake disc 8 to the distance change of brake disc 8
The fault mode data such as watt gap 73 change.
Installed in sensor and successfully extracted pressure signal on basis, experiment porch need to carry out experimental simulation difference portion
The fault mode of position, so as to obtain required data.In the present invention, experimental simulation hybrid power hoisting apparatus brakes is normal,
3 kinds of failure, catastrophe failure fault modes, the sample data of 3 groups of sensors is collected according to 3 kinds of fault modes.In experiment porch by
Hoisting apparatus braking system faults most immediate cause caused by pressure signal is exactly that braking moment is excessive or too small, and braking moment
Three principal elements are brake clearance 73, the elastic force of butterfly spring 5, hydraulic system oil pressure, as long as so carrying out reality from this three aspect
Test simulation.Wherein the fault data of brake clearance 73 can be ground by making brake disc 8 beat, brake shoe 71 and brake disc 8 occur
Damage obtains, and its beat degree or the degree of wear determine that fault mode is normal, failure or catastrophe failure；The elastic force of butterfly spring 5
Pressure signal data sample under the fault mode of initiation can be by replacing with the spring simulated failure of fatigue failure；Hydraulic system
The change of residual pressure signal can be blocked by oil circuit and the rupture of the inwall of local hydraulic cylinder 4 carries out fault simulation；Braking moment except
Sample is obtained by above-mentioned method indirectly, also sample can be directly obtained by pressure sensor 62.
Periodically extract hydraulic cylinder 4 in fluid after, to fluid using physico-chemical analysis, analyzing iron spectrum, spectrum analysis the methods of
Analyzed, three kinds of analysis results are compared and integrated, the initial data of oil analysis is pre-processed, extracted
Characteristic, fuzzy clustering data simplification is being carried out to data, can more accurately expression system truth, will more
Good data are supplied to experiment porch.Oil analysis predominantly detects the polluted information of fluid, the wear informations of parts, fluid
Quality and the association status of three, the first three information obtained by different detection means have corresponding decisive action and
Reaction, it can be seen that significant important relationship, obtains the abrasion of system mode and the information of oil product, by suitable side
After method processing, so as to state and existing or future possible breakdown judges and decision-making.
Above-mentioned hybrid power hoisting apparatus fault data sample acquiring method, including pressure signal data sample fetching portion
With fluid signal data sample acquisition part,
Pressure signal data sample fetching portion comprises the following steps：1. establish above-mentioned hybrid power hoisting apparatus failure
Indicate platform, 2. by pressure signal measuring point be distributed in the top of brake disc 72, the surface of brake disc 8, inside hydraulic cylinder 4, spring bottom,
Displacement transducer 63, pressure sensor 62, oil pressure sensor 64 and spring base sensor are installed respectively at 4 pressure signal measuring points
61,3. 3 kinds of the normal of simulated failure simulating brake system, failure, catastrophe failure patterns, and position is gathered respectively under 3 kinds of patterns
Displacement sensor 63, pressure sensor 62, three groups of sample datas of oil pressure sensor 64 and spring base sensor 61,4. will be at 3 kinds
The data sample collected under fault mode is transferred to signal AD conversion unit, completes after analog-to-digital conversion and host computer enters line number
According to exchange, analysis and storage；
Fluid signal data sample acquisition part comprises the following steps：1. periodically obtained from the fluid sample tap 41 of hydraulic cylinder 4
Take the fluid of hydraulic cylinder 4,2. to the carry out physical and chemical index analysis of the oil sample of collection, mainly for the viscosity of oil sample, pH-value,
The parameters such as moisture, flash-point；Analyzing iron spectrum, i.e., wear particle in oil sample is isolated in high-gradient intense magnetic field, by different monitorings
Instrument testing analyzes such as microscope, extracts the classification of abrasive particle and the information of quantity；Spectrum analysis, i.e. detection are launched specific
The metal types and content of wavelength, provide the concentration levels of various elements content in fluid.3. the data measured to oil analysis
Pre-processed, reject the human error in data, reduced influence of the observation error to data, remove noise, exclude data point
The external disturbing factor of analysis, extracts useful feature information, and pretreatment comprises the following steps：
The processing of a spectral analysis datas：Centralization, the normalization of spectroscopic data；
The smoothing processing of b data：Moving average method, Savitsky-Golay methods；
The amendment of c exceptional values：The hypothesis testing method being distributed using F, calculates confidential interval, to the data sample point of collection by
It is individual to check whether as exceptional value；
The replacement of d exceptional values：First calculate the average value for deleting the remaining sample after abnormity point oneself, by sample average with
Amendment numerical value of the difference of the former point sample collection value of exceptional value as abnormity point；Wherein ZKExceptional value correction value；ZK-1Exceptional value
The observation of the previous normal sample point of point or the value for having been subjected to amendment；E(ZNormally) remove the sample average after outlier；
Zk=2E (ZNormally)-ZK-1
4. carrying out fuzzy clustering data simplification to the data obtained after pretreatment, the phase between the attribute of each data is utilized
It is grouped like degree, makes same group of data there is higher similarity, there is higher distinctiveness ratio between the data of difference group,
The working condition of system is characterized while simplifying data again with not losing accuracy, fuzzy clustering point is carried out to characteristic parameter in fluid
Group, the similar classification of attribute is selected, it is specific as follows：
A selects all U={ x of object to be sorted1,x2,,,xn, wherein n is the number for being classified object, wherein xiIt is
The sample of object of classification, each sample are divided by m index again, xi'={ xi1’,xi2’,...,xim', so obtain original number
According to matrix, X '=(xij’)nxm。
B data normalizations, com-parison and analysis is carried out for the ease of achievement data, avoids data target from being buried, it is necessary to carry out
Data normalization processing, is standardized using equation below,
By standardizing achievement data Xij[0,1] closed interval is compressed in, obtains normalized matrix,
C determines the similarity relation matrix R on U, using quantity area method, index Similar operator, mean gap method, average several
In what minimum value method any one or more method,
D seeks fuzzy equivalent matrix, and fuzzy similarity matrix R minimum closure, that is, R2k=Rk are obtained by quadratic method,
E is clustered, and is obtained similar matrix using subtrabend's absolute value method, is further obtained minimum delivered Closure Matrix, in the square
Appropriate λ ∈ [0,1] are selected in battle array, object is classified, wherein under different λ levels, the result of cluster differs, and λ takes
It is worth smaller, classification results are finer.
5. the data sample after fuzzy clustering is simplified is transferred to signal AD conversion unit, complete after analog-to-digital conversion and upper
Position machine carries out data exchange, analysis and storage.
Further, it is also possible to install circumscribed detection terminal on platform, the parts such as each sensor, actuator can be examined
Survey maintenance.
The present invention is not limited to above-mentioned embodiment, and persons skilled in the art are according to disclosed by the invention interior
Hold, other a variety of embodiments can be used to implement the present invention, or every design structure and think of using the present invention
Road, simple change or change are done, both falls within protection scope of the present invention.
Claims (3)
1. a kind of hybrid power hoisting apparatus fault data sample acquiring method, it is characterised in that including pressure signal data sample
This fetching portion and fluid signal data sample acquisition part,
The pressure signal data sample fetching portion comprises the following steps：
1. establishing hybrid power hoisting apparatus failure indication platform, hybrid power hoisting apparatus failure indication platform includes signal
Collecting unit, fault simulation brakes, signal AD conversion unit, host computer, signal gathering unit are braked with fault simulation
System is connected, and signal gathering unit output end is connected with signal AD conversion unit, and signal AD conversion unit output signal passes
It is handed to host computer,
The fault simulation brakes includes
Power supply device, including supply, adjust energy needed for braking and improve the hydraulic cylinder for passing energy medium state, set in hydraulic cylinder
There is the piston that hydraulic cylinder is divided into hydraulic cavities and plunger shaft, piston one end is stretched out outside hydraulic cylinder by piston rod, and piston is another
End is provided with spring, and piston rod and spring are located in hydraulic cavities and plunger shaft respectively；
Control device, including produce braking maneuver and control the brake pedal of braking effect；
Transmission device, including braking energy is transferred to the vacuum booster pump of brake and braking energy is transferred to brake
Master cylinder；
Brake, including produce the brake disc for the power for hindering hoisting apparatus braking motion or movement tendency and produce and hindered refitting
The brake shoe of the power of braking motion or movement tendency is put, brake clearance is left between brake disc and brake shoe, brake shoe passes through brake disc and work
Stopper rod connects；
Brake pedal is connected by the vacuum booster pump with master cylinder, the hydraulic cavities that master cylinder passes through oil pipe and hydraulic cylinder
Connection, piston rod one end is stretched out outside hydraulic cavities to be connected with brake disc,
The signal gathering unit includes oil pressure sensor, pressure sensor, displacement transducer and spring base sensor,
Oil pressure sensor is installed in the hydraulic cavities of hydraulic cylinder, and the spring in hydraulic cylinder is installed on plunger shaft by spring back seat
In, spring base sensor is installed in spring back seat, and fluid sample tap is additionally provided with the hydraulic cavities of hydraulic cylinder,
Displacement transducer is installed on brake disc top,
Pressure sensor is installed on end face of the brake disc towards brake shoe, and pressure sensor is located in brake clearance；
2. by pressure signal measuring point be distributed in brake disc top, brake disc surface, inside hydraulic cylinder, spring bottom, believe in 4 pressure
Displacement transducer, pressure sensor, oil pressure sensor and spring base sensor are installed respectively at number measuring point,
3. 3 kinds of the normal of simulated failure simulating brake system, failure, catastrophe failure patterns, and position is gathered respectively under 3 kinds of patterns
Displacement sensor, pressure sensor, three groups of sample datas of oil pressure sensor and spring base sensor,
4. the data sample collected under 3 kinds of fault modes is transferred to signal AD conversion unit, after completing analog-to-digital conversion
Data exchange, analysis and storage are carried out with host computer；
The fluid signal data sample acquisition part comprises the following steps：1. periodically obtain liquid from the fluid sample tap of hydraulic cylinder
Cylinder pressure fluid, 2. to the carry out oil analysis of the oil sample of collection, 3. the data that oil analysis measures are pre-processed, reject number
Human error in, influence of the observation error to data is reduced, removes noise, excludes the external disturbing factor of data analysis,
Useful feature information is extracted, pretreatment comprises the following steps：
The processing of a spectral analysis datas：Centralization, the normalization of spectroscopic data；
The smoothing processing of b data：Moving average method, Savitsky-Golay methods；
The amendment of c exceptional values：The hypothesis testing method being distributed using F, is calculated confidential interval, the data sample point of collection is examined one by one
Whether test is exceptional value；
The replacement of d exceptional values：The average value of the remaining sample after deleting abnormity point oneself is first calculated, by sample average and exception
Amendment numerical value of the difference of the former point sample collection value of value as abnormity point；Wherein ZKExceptional value correction value；ZK-1Before outlier
The observation of one normal sample point or the value for having been subjected to amendment；E(ZNormally) remove the sample average after outlier；
Zk=2E (ZNormally)-ZK-1
4. carrying out fuzzy clustering data simplification to the data obtained after pretreatment, the similar journey between the attribute of each data is utilized
Spend to be grouped, fuzzy clustering packet is carried out to characteristic parameter in fluid, select the similar classification of attribute, it is specific as follows：
A selects all U={ x of object to be sorted1,x2,,,xn, wherein n is the number for being classified object, wherein xiIt is classification pair
The sample of elephant, each sample are divided by m index again, xi'={ xi1’,xi2’,...,xim', so obtain initial data square
Battle array, X '=(xij') nxm,
B data normalizations, are standardized using equation below,
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By standardizing achievement data Xij[0,1] closed interval is compressed in, obtains normalized matrix,
C determines the similarity relation matrix R on U, using quantity area method, index Similar operator, mean gap method, average geometric most
In small value method any one or more method,
D seeks fuzzy equivalent matrix, and fuzzy similarity matrix R minimum closure, that is, R2k=Rk are obtained by quadratic method,
E is clustered, and is obtained similar matrix using subtrabend's absolute value method, is further obtained minimum delivered Closure Matrix, on the matrix
Selected appropriate λ ∈ [0,1], object is classified,
5. the data sample after fuzzy clustering is simplified is transferred to signal AD conversion unit, complete after analog-to-digital conversion and host computer
Carry out data exchange, analysis and storage.
2. hybrid power hoisting apparatus fault data sample acquiring method according to claim 1, it is characterised in that：It is described
The step of fluid signal data sample acquisition part is 2. middle to carry out oil analysis using three kinds of analysis means, and a uses conventional physics and chemistry
Performance evaluation, experimental analysis is done to the physical and chemical index of the oil sample of collection, mainly for the viscosity of oil sample, pH-value, moisture,
The parameters such as flash-point；B uses analyzing iron spectrum, and wear particle in oil sample is isolated in high-gradient intense magnetic field, is examined by monitoring instrument
Analysis is tested, extracts the classification of abrasive particle and the information of quantity；C uses spectrum analysis, to detect the metal for launching specific wavelength
Type and content, provide the concentration levels of various elements content in fluid.
3. hybrid power hoisting apparatus fault data sample acquiring method according to claim 1, it is characterised in that：It is described
Displacement transducer, pressure sensor, oil pressure sensor and spring base sensor are respectively arranged in 4 pressure signal measuring points, 4 pressures
Force signal measuring point is respectively distributed to brake disc top, brake disc surface, inside hydraulic cylinder, at spring bottom, and the pressure signal is surveyed
High temperature resistant vacuum grease is smeared in point position through being polished into smooth flat, smooth flat, and displacement transducer, pressure sensor, oil pressure pass
Sensor and spring base sensor contact with respective pressure signal point position respectively, and displacement transducer is fixed on brake disc by support
On, pressure sensor and oil pressure sensor are fixed through high-intensity magnetic seat respectively, and spring base sensor is embedded at the recessed of spring back seat
In chamber.
Priority Applications (1)
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