CN104833914A - Prediction module and test method for motor vibration characteristics under working state - Google Patents

Prediction module and test method for motor vibration characteristics under working state Download PDF

Info

Publication number
CN104833914A
CN104833914A CN201510220344.8A CN201510220344A CN104833914A CN 104833914 A CN104833914 A CN 104833914A CN 201510220344 A CN201510220344 A CN 201510220344A CN 104833914 A CN104833914 A CN 104833914A
Authority
CN
China
Prior art keywords
motor
under
machine operation
working state
vibration characteristics
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201510220344.8A
Other languages
Chinese (zh)
Other versions
CN104833914B (en
Inventor
彭思思
张国兵
田磊
谭登洪
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
712th Research Institute of CSIC
Original Assignee
712th Research Institute of CSIC
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 712th Research Institute of CSIC filed Critical 712th Research Institute of CSIC
Priority to CN201510220344.8A priority Critical patent/CN104833914B/en
Publication of CN104833914A publication Critical patent/CN104833914A/en
Application granted granted Critical
Publication of CN104833914B publication Critical patent/CN104833914B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Motor Or Generator Frames (AREA)
  • Manufacture Of Motors, Generators (AREA)

Abstract

The invention relates to a prediction module and test method for motor vibration characteristics under a working state, and relates to the technical field of motor structural acoustics. The prediction method and the test method are especially suitable for predictions and tests of the vibration characteristics of various military and civil large motors under the working state. The invention aims at overcoming shortcomings of a conventional prediction and test method, and provides the prediction module for the motor vibration characteristics under the working state. The prediction module goes through the process according to actual conditions of a motor under the working state, can accurately predict the vibration characteristics of the motor under the working state, and is used for carrying out comprehensive and profound researches on the vibration characteristics of the motor under the working state, so that vibration rules of the motor under the working state can be grasped. The invention also provides the test method for the motor vibration characteristics under the working state, tests can be easily and efficiently carried out through the method, the vibration characteristics of the motor under the working state can be really and efficiently obtained, and the method is used for giving guidance for the vibration characteristic tests of the motor under the actual working state.

Description

Motor oscillating Predicting Performance Characteristics module and test method under a kind of duty
Technical field
The present invention relates to motor oscillating Predicting Performance Characteristics module and test method under a kind of duty, belong to electric machine structure technical field of acoustics, be specially adapted to prediction and the test of the vibration characteristics under military, civilian all kinds of large-size machine duty.
Background technology
The control of motor oscillating noise is the important topic that environmental protection faces, and is also the important step improving the motor product at home and abroad market competitiveness, and to obtain motor oscillating characteristic be the gordian technique of carrying out low noise motor design; Due to the complicacy of electric machine structure, especially in working order, its vibration research relate to intersection and the fusion of multiple ambits such as electromagnetics, mechanics and calorifics, and this brings certain challenge also to the research of motor oscillating characteristic; At present, under mainly concentrating on motor component (as support, iron core and stator) or complete machine free state about the large quantity research of motor oscillating characteristic both at home and abroad, the vibration Characteristics of electric machine operation state is not almost set foot in; But, only have grasped motor in working order under vibration characteristics, could the real actual vibration state understanding motor, for motor Low Noise Design provides effective scientific basis;
For the research of the motor oscillating characteristic under duty, its difficulty is to consider the influence factor of electric machine operation state to motor oscillating characteristic how rationally and effectively; In working order, need consider the impact of rotor on stator, its key is to process the matching relationship between rotating shaft and bearing; In addition, the factor that there is considerable influence equally also has the electromagnetic force and temperature rise that produce during machine operation to the impact of motor rigidity; Therefore, the vibration characteristics precision of prediction under electric machine operation state be ensured, need emphasis to think about the effect of above influence factor.
Summary of the invention
The object of the invention is to, overcome defect and the deficiency of existing prediction and test method, the prediction module of motor oscillating characteristic under a kind of duty is provided, for carrying out comprehensive and deep research to the vibration characteristics under electric machine operation state, so grasp motor in working order under vibration regularity; Meanwhile, propose motor oscillating characteristic test method under a kind of duty, be used to guide and test of Vibration is carried out to the motor under actual working state;
Technical scheme of the present invention is to provide the prediction module of vibration characteristics under a kind of electric machine operation state, it is characterized in that, comprising:
One motor modeling unit: build based on entity motor, comprises base, the motor body be arranged on base, and described motor body is fixed with cooling system, and described motor body comprises stator and rotor assembly; Vibration damping air bag is also provided with between motor body and base;
One stress and strain model unit: the stress and strain model achieving motor model, the overall situation adopts hexahedron topological structure to divide, and unit size controls between 5 ~ 20mm, and number of grid reaches 800,000, and ensure that higher mesh quality;
One load applying unit: the electromagnetic force be subject under actual working state for loading motor and temperature rise; The loading of described electromagnetic force is that the actual electrical magnetic force size that is subject to according to stator core under electric machine operation state and distribution form load, and it is load according to the stable temperature rise produced after machine operation that temperature rise loads;
One modal calculation unit: each rank model frequency during for calculating machine operation and the vibration shape;
One Frequency extraction unit: each rank model frequency during for extracting machine operation and the vibration shape.
The prediction module of vibration characteristics under above-mentioned a kind of electric machine operation state, described motor modeling unit carries out orthotropy equivalence to stator core, its role is to simulate more truly the feature that core lamination stack structure has;
Node carries out to the welding between each wallboard of out frame bonding;
Joint portion between each bolts assemblies part is processed according to bolt compresses cone theazy, and considers the effect of bolt pretightening, simulated the effect of bolt pretightening by beam element or preload unit;
Coordinating between rotor with bearing adopts bar unit to simulate according to the quantity of bearing roller, and certain radial rigidity and axial rigidity are set, wherein radial rigidity can be arranged according to the material of rolling body and sectional dimension, and whether axial rigidity is suitably arranged according to there is back-up ring and whether bear certain axial force.
The prediction module of vibration characteristics under above-mentioned a kind of electric machine operation state, the electromagnetic force be subject under achieving motor actual working state and temperature rise load; The loading of electromagnetic force is that the actual electrical magnetic force size that is subject to according to stator core under electric machine operation state and distribution form load, and it is load according to the stable temperature rise produced after machine operation that temperature rise loads.
Motor oscillating characteristic test method under a kind of duty, is characterized in that, comprise the following steps:
Step 1: tested motor is arranged on cast iron platform, and adopt vibration damping air bag to carry out elasticity installation;
Step 2: switch on power and carry out motor commissioning test, shut down power-off after normal operation;
Step 3: arrange acceleration transducer, major motor housing and external face are arranged, on housing, each measuring point distributes by 30 × 30cm rectangular array, and on end cap, each measuring point is according to the concentric circles of different diameters 20cm, and circumferencial direction arranges a measuring point every 22.5 °;
Step 4: connecting test equipment, is connected to number and adopts on equipment by sensor signal lines, be connected by the data line that number adopts equipment, start power supply with PC;
Step 5: open mould measurement software, whether the signal detecting each sensor is normal, and arranges acquisition parameter;
Step 6: reclose motor power, by frequency converter starter motor, under making motor speed steadily rise to rated speed, meanwhile, gathers the response signal of each acceleration transducer in whole process, and the real-time rotate speed of synchronous acquisition motor;
Step 7: motor stopping, each rank model frequency by the operational modal analysis Module recognition in mould measurement software and when extracting machine operation and the vibration shape;
Step 8: the rationality passing judgment on the mode identified according to modal assurance criterion, if checking rationally, then disconnects testing apparatus and motor power, terminates test, if verify unreasonable, then repeats step 6, Resurvey and identification.
Advantage of the present invention there are provided the prediction module of vibration characteristics under a kind of electric machine operation state, and method is simply effective, considers comprehensively, can go out vibration characteristics under electric machine operation state by Accurate Prediction; The test method that the present invention proposes, implementation process is simply efficient, and can obtain the vibration characteristics under electric machine operation state authentic and validly.
Accompanying drawing explanation
Fig. 1 is the motor model in prediction module of the present invention;
Fig. 2 is the acceleration transducer arrangement in test procedure of the present invention on motor housing;
Fig. 3 is the acceleration transducer arrangement in test procedure of the present invention on electric motor end cap.
Embodiment
With certain large-size machine duty for embodiment, and the invention will be further described by reference to the accompanying drawings:
One, hardware configuration.
As shown in Figure 1, prediction module of the present invention comprises:
One motor modeling unit: build based on entity motor, motor model is assembled primarily of parts such as cooling system 1.1, stator 1.2, rotor 1.3, base 1.4 and vibration damping air bags 1.5;
As shown in Figure 2, in the test of Vibration under electric machine operation state of the present invention, acceleration transducer 2.1 is arranged on motor housing 2.2, and distributes by 30 × 30cm rectangular array;
As shown in Figure 3, in the test of Vibration under electric machine operation state of the present invention, acceleration transducer 3.1 is arranged on electric motor end cap 3.2, and according to the concentric circles of different diameters 20cm, and circumferencial direction arranges a measuring point every 22.5 °.
One stress and strain model unit: the stress and strain model achieving motor model, the overall situation adopts hexahedron topological structure to divide, and unit size controls between 5 ~ 20mm, and number of grid reaches 800,000, and ensure that higher mesh quality;
One load applying unit: the electromagnetic force be subject under actual working state for loading motor and temperature rise; The loading of described electromagnetic force is that the actual electrical magnetic force size that is subject to according to stator core under electric machine operation state and distribution form load, and it is load according to the stable temperature rise produced after machine operation that temperature rise loads;
One modal calculation unit: each rank model frequency during for calculating machine operation and the vibration shape;
One Frequency extraction unit: each rank model frequency during for extracting machine operation and the vibration shape.
Wherein, motor modeling unit carries out orthotropy equivalence to stator core, its role is to simulate more truly the feature that core lamination stack structure has;
Node carries out to the welding between each wallboard of out frame bonding;
Joint portion between each bolts assemblies part is processed according to bolt compresses cone theazy, and considers the effect of bolt pretightening, simulated the effect of bolt pretightening by beam element or preload unit;
Coordinating between rotor with bearing adopts bar unit to simulate according to the quantity of bearing roller, and certain radial rigidity and axial rigidity are set, wherein radial rigidity can be arranged according to the material of rolling body and sectional dimension, and whether axial rigidity is suitably arranged according to there is back-up ring and whether bear certain axial force.
The electromagnetic force that prediction module is subject under achieving motor actual working state and temperature rise load; The loading of electromagnetic force is that the actual electrical magnetic force size that is subject to according to stator core under electric machine operation state and distribution form load, and it is load according to the stable temperature rise produced after machine operation that temperature rise loads.
Two, during experiment, comprise the following steps:
Step 1: tested motor is arranged on cast iron platform, and adopt vibration damping air bag to carry out elasticity installation;
Step 2: switch on power and carry out motor commissioning test, shut down power-off after normal operation;
Step 3: arrange acceleration transducer, major motor housing and external face are arranged, on housing, each measuring point distributes by 30 × 30cm rectangular array, and on end cap, each measuring point is according to the concentric circles of different diameters 20cm, and circumferencial direction arranges a measuring point every 22.5 °;
Step 4: connecting test equipment, is connected to number and adopts on equipment by sensor signal lines, be connected by the data line that number adopts equipment, start power supply with PC;
Step 5: open mould measurement software, whether the signal detecting each sensor is normal, and arranges acquisition parameter;
Step 6: reclose motor power, by frequency converter starter motor, under making motor speed steadily rise to rated speed, meanwhile, gathers the response signal of each acceleration transducer in whole process, and the real-time rotate speed of synchronous acquisition motor;
Step 7: motor stopping, each rank model frequency by the operational modal analysis Module recognition in mould measurement software and when extracting machine operation and the vibration shape;
Step 8: the rationality passing judgment on the mode identified according to modal assurance criterion, if checking rationally, then disconnects testing apparatus and motor power, terminates test, if verify unreasonable, then repeats step 6, Resurvey and identification.
Above-describedly be only preferred embodiment of the present invention, limitation of the present invention is not described, all protection scope of the present invention should be considered as with test for the vibration characteristics prediction under any electric machine operation state.

Claims (4)

1. the prediction module of vibration characteristics under electric machine operation state, is characterized in that, comprise
One motor modeling unit: build based on entity motor, comprise base (1.4), the motor body be arranged on base (1.4), described motor body is fixed with cooling system (1.1), described motor body comprises stator (1.2) and rotor (1.3) assembly; Vibration damping air bag (1.5) is also provided with between motor body and base (1.4);
One stress and strain model unit: the stress and strain model achieving motor model, the overall situation adopts hexahedron topological structure to divide, and unit size controls between 5 ~ 20mm, and number of grid reaches 800,000, and ensure that higher mesh quality;
One load applying unit: the electromagnetic force be subject under actual working state for loading motor and temperature rise; The loading of described electromagnetic force is that the actual electrical magnetic force size that is subject to according to stator core under electric machine operation state and distribution form load, and it is load according to the stable temperature rise produced after machine operation that temperature rise loads;
One modal calculation unit: each rank model frequency during for calculating machine operation and the vibration shape;
One Frequency extraction unit: each rank model frequency during for extracting machine operation and the vibration shape.
2. the prediction module of vibration characteristics under a kind of electric machine operation state according to claim 1, it is characterized in that, described motor modeling unit carries out orthotropy equivalence to stator core, its role is to simulate more truly the feature that core lamination stack structure has;
Node carries out to the welding between each wallboard of out frame bonding;
Joint portion between each bolts assemblies part is processed according to bolt compresses cone theazy, and considers the effect of bolt pretightening, simulated the effect of bolt pretightening by beam element or preload unit;
Coordinating between rotor with bearing adopts bar unit to simulate according to the quantity of bearing roller, and certain radial rigidity and axial rigidity are set, wherein radial rigidity can be arranged according to the material of rolling body and sectional dimension, and whether axial rigidity is suitably arranged according to there is back-up ring and whether bear certain axial force.
3. the prediction module of vibration characteristics under a kind of electric machine operation state according to claim 1, is characterized in that, the electromagnetic force be subject under described load applying unit achieves motor actual working state and temperature rise load; The loading of electromagnetic force is that the actual electrical magnetic force size that is subject to according to stator core under electric machine operation state and distribution form load, and it is load according to the stable temperature rise produced after machine operation that temperature rise loads.
4. a motor oscillating characteristic test method under duty, is characterized in that, comprise the following steps:
Step 1: tested motor is arranged on cast iron platform, and adopt vibration damping air bag to carry out elasticity installation;
Step 2: switch on power and carry out motor commissioning test, shut down power-off after normal operation;
Step 3: arrange acceleration transducer, major motor housing and external face are arranged, on housing, each measuring point distributes by 30 × 30cm rectangular array, and on end cap, each measuring point is according to the concentric circles of different diameters 20cm, and circumferencial direction arranges a measuring point every 22.5 °;
Step 4: connecting test equipment, is connected to number and adopts on equipment by sensor signal lines, be connected by the data line that number adopts equipment, start power supply with PC;
Step 5: open mould measurement software, whether the signal detecting each sensor is normal, and arranges acquisition parameter;
Step 6: reclose motor power, by frequency converter starter motor, under making motor speed steadily rise to rated speed, meanwhile, gathers the response signal of each acceleration transducer in whole process, and the real-time rotate speed of synchronous acquisition motor;
Step 7: motor stopping, each rank model frequency by the operational modal analysis Module recognition in mould measurement software and when extracting machine operation and the vibration shape;
Step 8: the rationality passing judgment on the mode identified according to modal assurance criterion, if checking rationally, then disconnects testing apparatus and motor power, terminates test, if verify unreasonable, then repeats step 6, Resurvey and identification.
CN201510220344.8A 2015-05-04 2015-05-04 Motor oscillating Predicting Performance Characteristics module and test method under a kind of working condition Active CN104833914B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510220344.8A CN104833914B (en) 2015-05-04 2015-05-04 Motor oscillating Predicting Performance Characteristics module and test method under a kind of working condition

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510220344.8A CN104833914B (en) 2015-05-04 2015-05-04 Motor oscillating Predicting Performance Characteristics module and test method under a kind of working condition

Publications (2)

Publication Number Publication Date
CN104833914A true CN104833914A (en) 2015-08-12
CN104833914B CN104833914B (en) 2017-09-22

Family

ID=53811917

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510220344.8A Active CN104833914B (en) 2015-05-04 2015-05-04 Motor oscillating Predicting Performance Characteristics module and test method under a kind of working condition

Country Status (1)

Country Link
CN (1) CN104833914B (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105574341A (en) * 2015-12-17 2016-05-11 西安交通大学 Method for calculating normal-temperature pre-tightening force of bolt working under low-temperature working condition
CN106940735A (en) * 2016-10-19 2017-07-11 天津大学 A kind of induction machine elastic vibration stability prediction method
CN107246948A (en) * 2017-07-11 2017-10-13 哈尔滨工程大学 A kind of detection means and method of motor oscillating characteristic frequency
CN110045282A (en) * 2019-04-24 2019-07-23 安徽皖南新维电机有限公司 A kind of permanent-magnet synchronous reluctance motor experimental rig and its test method
CN113109710A (en) * 2021-04-14 2021-07-13 深圳迪巨智能科技有限公司 Analog motor debugging device

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4137780A (en) * 1978-02-06 1979-02-06 General Electric Company Apparatus for monitoring phase currents and torsional vibrations of a turbine-generator
CN102135466A (en) * 2010-11-18 2011-07-27 西安航空动力股份有限公司 Method for testing vibration mode
CN103501088A (en) * 2013-10-14 2014-01-08 中国船舶重工集团公司第七一二研究所 Motor laminated core vibration characteristic test system and vibration characteristic acquisition method
CN103528779A (en) * 2013-10-14 2014-01-22 中国船舶重工集团公司第七一二研究所 Testing system and testing method for vibration characteristic of overall base of motor

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4137780A (en) * 1978-02-06 1979-02-06 General Electric Company Apparatus for monitoring phase currents and torsional vibrations of a turbine-generator
CN102135466A (en) * 2010-11-18 2011-07-27 西安航空动力股份有限公司 Method for testing vibration mode
CN103501088A (en) * 2013-10-14 2014-01-08 中国船舶重工集团公司第七一二研究所 Motor laminated core vibration characteristic test system and vibration characteristic acquisition method
CN103528779A (en) * 2013-10-14 2014-01-22 中国船舶重工集团公司第七一二研究所 Testing system and testing method for vibration characteristic of overall base of motor

Non-Patent Citations (7)

* Cited by examiner, † Cited by third party
Title
佟宁泽: "大中型感应电机电磁力及定子振动分析", 《中国优秀硕士学位论文全文数据库》 *
卿湘文: "高速开关磁阻电机振动研究与测试", 《中国优秀硕士学位论文全文数据库》 *
夏雪宝等: "电机机座螺栓结合面振动特性研究", 《船海工程》 *
张磊等: "具有凸极效应的永磁同步电机电磁振动特性", 《电工技术学报》 *
杨骏等: "发电机定子铁芯模态振动特性试验研究", 《安徽电气工程职业技术学院学报》 *
王倩营: "非晶合金电机的电磁性能与定子振动研究", 《中国优秀硕士学位论文全文数据库》 *
陈云华等: "电机叠片铁心的振动特性计算方法研究", 《电机与控制学报》 *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105574341A (en) * 2015-12-17 2016-05-11 西安交通大学 Method for calculating normal-temperature pre-tightening force of bolt working under low-temperature working condition
CN105574341B (en) * 2015-12-17 2018-04-17 西安交通大学 A kind of bolt room temperature pretightning force computational methods to work under worst cold case
CN106940735A (en) * 2016-10-19 2017-07-11 天津大学 A kind of induction machine elastic vibration stability prediction method
CN107246948A (en) * 2017-07-11 2017-10-13 哈尔滨工程大学 A kind of detection means and method of motor oscillating characteristic frequency
CN107246948B (en) * 2017-07-11 2019-04-12 哈尔滨工程大学 A kind of detection device and method of motor oscillating characteristic frequency
CN110045282A (en) * 2019-04-24 2019-07-23 安徽皖南新维电机有限公司 A kind of permanent-magnet synchronous reluctance motor experimental rig and its test method
CN110045282B (en) * 2019-04-24 2021-11-02 安徽皖南新维电机有限公司 Permanent magnet synchronous reluctance motor test device and test method thereof
CN113109710A (en) * 2021-04-14 2021-07-13 深圳迪巨智能科技有限公司 Analog motor debugging device

Also Published As

Publication number Publication date
CN104833914B (en) 2017-09-22

Similar Documents

Publication Publication Date Title
CN104833914A (en) Prediction module and test method for motor vibration characteristics under working state
CN203719860U (en) Overall vehicle vibration test system used for electric vehicle
CN103528779B (en) The pilot system of a kind of vibration characteristic of overall base of motor and test method
CN105352588A (en) Design of vibration detection system of brushless direct current motor
CN104251763A (en) Power battery vibration testing system for electric automobile
CN105205264B (en) Predict the test method of pumped-storage power generation motor rotor component service life
CN103940564A (en) Rotor supporting system dynamic similarity testing experiment table and testing method
CN103501088A (en) Motor laminated core vibration characteristic test system and vibration characteristic acquisition method
Högberg et al. Direct reuse of rare earth permanent magnets—Wind turbine generator case study
CN104792485A (en) Testing method of motor damping feature recognition
Song et al. An overview of noise-vibration-harshness analysis for induction machines and permanent magnet synchronous machines
CN103076037A (en) Method for calibrating sensor on line
CN109406114A (en) A kind of aeroengine rotor blade working condition checkout gear and detection method
Bhatti et al. Intelligent fault diagnosis mechanism for industrial robot actuators using digital twin technology
CN214384521U (en) Magnetic force excitation bolted joint vibration failure experimental apparatus
Tshoombe et al. Implementation of DT-based monitoring system of induction motors
CN106249146A (en) The analysis of a kind of cigar mill electric motor operation state and method for early warning
Jaen-Sola et al. Structural analysis and characterization of radial flux PM generators for direct-drive wind turbines
Janda et al. Calculation of the vibration induction motor using the finite element method
CN106197964B (en) Magnetic suspension dual-rotor structure testing device
Levitskyi et al. Method for monitoring the stator core of a powerful turbo generator
Zhou et al. Dynamical characteristics and influencing factors of stator end-windings of a turbine generator analyzed via heterogeneous element fusion modeling
CN206496900U (en) Electric-machine directly-driven shaft coupling fatigue cycle life testing machine
CN102778347A (en) Mechanical loading device for main shaft or servo shaft of digital control system
CN204302128U (en) Fatigue of materials process synthesis test macro

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
EXSB Decision made by sipo to initiate substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant