CN101248341A - Method and device for evaluating the annoyance of squeaking noises - Google Patents
Method and device for evaluating the annoyance of squeaking noises Download PDFInfo
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Abstract
The invention relates to a method for evaluating the annoyance of squeaking noises within an audible signal generated during the operation of a motor vehicle or during the operation of one of its components. According to the invention, the existence of at least one squeaking noise is detected, this at least one squeaking noise is evaluated with regard to at least two predetermined characteristics, and a quantity characteristic of the annoyance of this at least one squeaking noise is determined from the at least two evaluations of this at least one squeaking noise.
Description
Technical field
The fact shows, the noise that occurs in automobilism or when moving its parts tends to disturb driver and environment, thereby should detect as much as possible, so that can take the measure of noise reduction sound.
Background technology
The method of the switch noise when valve and pump detect control from the known a kind of hydraulic system that suppresses brake circuit of DE 10260723 A1.Carry out on the said time interval that is controlled at a kind of weak point, make any machinery and the reaction that cause noise that in check parts can not occur.
Summary of the invention
The present invention relates to a kind of method, be used to assess the interference of noise of uttering long and high-pitched sounds, and under the situation of an automobilism of operation or the interference of the substantial assembling noise of the voice signal that under the situation of one of its parts of operation, produces, wherein
The existence of at least a noise of uttering long and high-pitched sounds of-detection,
-at least two these at least a noises of uttering long and high-pitched sounds of characteristic aspect assessment given in advance, and
-definite interference that characterizes this at least a noise level of uttering long and high-pitched sounds from least two assessments of this at least a noise of uttering long and high-pitched sounds.
Interfering a kind of objective yardstick of understanding the noise of uttering long and high-pitched sounds makes it possible to judge in the described noise of uttering long and high-pitched sounds to be tolerable or need to take at measure.Determine a kind of amount in order to assess described interference, the explanation of described amount have many strong in other words by the described sharp-pointed sound scope of what yardstick by people's ear feel to be interfered uncomfortable in other words.
A favourable embodiment of the present invention is characterised in that: the described noise of uttering long and high-pitched sounds is the brake squeal noise.No matter the fact shows that the noise of uttering long and high-pitched sounds is in fact all is noise pollution to environment or to the driver.
A favourable embodiment according to the present invention is characterised in that;
-in a kind of amplitude spectrum of voice signal, detect the described noise of uttering long and high-pitched sounds by finding out a kind of maximal value, and enumerate at least two features of following feature,
Described at least two features comprise:
The time span of-described the noise of uttering long and high-pitched sounds,
The flat value of the descant of the amplitude spectrum of-process weighting
The descant of the spectrum that-weighted sum that obtains from described amplitude spectrum by level and smooth and weighting is level and smooth is equalled value,
The specific loudness of-signal,
-from the time span of described sharp signal and described weighted sum level and smooth spectrum multiply each other long-pending,
-from the product of the time span of described sharp signal and described spectrum through weighting,
-long-pending from the feature loudness of the time span of described sharp signal and described signal.
A favourable embodiment of the present invention is characterised in that:
-be each feature definite single assessment number under the situation of at least a noise of uttering long and high-pitched sounds in described at least two features.
-determine to characterize the amount of the described noise loudness of uttering long and high-pitched sounds at least according to described two the single assessment numbers that are determined.How important this is for described interference for each feature description to each noise of uttering long and high-pitched sounds by described single assessment number.
A favourable embodiment of the present invention is characterised in that,
-described at least a the noise of uttering long and high-pitched sounds is the brake squeal noise that occurs in single braking procedure,
-be each feature in described at least two features, by being carried out association to single assessment number, the individual features of determining at each brake squeal noise forms a kind of feature evaluation number, and
-from described two definite feature evaluation numbers, obtain the single interference volume of the characteristic that characterizes the noise of uttering long and high-pitched sounds that occurs in the braking procedure at least.
Thereby the sharp-pointed stimulation of all of a comprehensive braking procedure, and total loudness of the noise of uttering long and high-pitched sounds in the braking procedure determined a kind of objective yardstick.Especially be noted that the multiple brake squeal noise of appearance in same braking procedure at this.
Favourable embodiment of the present invention is characterised in that described association is summation, especially a kind of summation of weighting.
A favourable embodiment of the present invention is characterised in that,
-by the summation of weighting, determine one first intermediate quantity according to described at least two feature evaluation numbers, and
-determine to characterize the amount of the loudness of the described noise of uttering long and high-pitched sounds according to described first intermediate quantity.
A favourable enforcement of the present invention is characterised in that described single interference amount is determined from first intermediate quantity according to following relational expression
A, b, c are optional parameters in the formula, and OV is that the first intermediate quantity bonisqueal is single interference amount.
By a, b, c being chosen as objective as far as possible and determining that convictively bonisqueal provides 3 degree of freedom.
A favourable embodiment of the present invention is characterised in that, is described selectable parameter a, b, c, selective value: a=0.016, b=-23.64375, c=2.6327.Experiment shows that these values are suitable especially.
The feature of a favourable embodiment of the present invention is,
-described single interference amount is based on the value of round numbers, and
If-determine that single interference amount is the value less than 1, so just described single interference amount be made as 1 and
If-determine that single interference amount is the value greater than 10, so just is made as 10 to described single interference amount.
Thereby carry out the classification of single interference amount, be categorized into discrete grade in other words.
The feature of a favourable embodiment of the present invention is,
At least two braking procedures of-enforcement,
-determine to be characterized in a total interference amount of the interference amount of the noise of uttering long and high-pitched sounds that occurs in the braking procedure,
-wherein always be introduced as the definite and mean value that satisfy the single interference amount of a condition given in advance of each braking procedure in the interference amount.
Can determine an objective yardstick for the interference of the noise of uttering long and high-pitched sounds thus.
A favourable embodiment of the present invention is characterised in that described condition given in advance is to be lower than a threshold value, and especially threshold value 9.5, by the corresponding single interference amount of described threshold process.This obviously means: do not consider almost no longer can hear the small especially noise of uttering long and high-pitched sounds.See also Fig. 1 about several 9.5, indicate the interference of the noise number of uttering long and high-pitched sounds in the figure.
The feature of a favourable embodiment of the present invention is, in described total interference amount, additionally introduce an item, introduced the braking procedure number that the noise of uttering long and high-pitched sounds is arranged that has carried out for the braking procedure sum in this, the number percent of the braking procedure of the noise of uttering long and high-pitched sounds has just been arranged.
The feature of a favourable embodiment of the present invention is by means of a family curve given in advance, to determine above-mentioned item according to the braking procedure number that the noise of uttering long and high-pitched sounds is arranged that has carried out for the braking procedure sum.
The feature of a favourable embodiment of the present invention is that described family curve is a kind of dull negative characteristic.
The feature of a favourable embodiment of the present invention is,
-described total interference measure an immediate round values and
If the value of-definite total interference amount so just is made as 1 to total interference amount less than 1, and
If the value of-definite total interference amount so just is made as 10 to total interference amount greater than 10.
Provide dispersion number to use thus as interference level.
The present invention comprises a kind of device in addition, and described device contains the device of the method that is useful on the implementation method claim.
The favourable embodiment of method is explained the favourable embodiment of device as described herein in addition as described in the present invention, and vice versa.
Description of drawings
Accompanying drawing is made up of Fig. 1 to 5.
Fig. 1 illustrates an assessment scale, the assessment number and the interference level of one of them explanation the annoyance of squeaking noises.
Fig. 2 roughly illustrates from a kind of noise signal of uttering long and high-pitched sounds and extracts feature.
Fig. 3 along the coordinate direction illustrative a kind of correction term is shown.Wherein, represent to have utter long and high-pitched sounds the braking procedure number of noise and the ratio of braking procedure sum with % in other words along the horizontal ordinate direction amount of illustrating NP.
Fig. 4 shows the frequency response of the difference assessment wave filter that depends on frequency.
Fig. 5 shows the basic procedure according to the method for the invention.
Embodiment
The invention reside in a kind of interfering method that objective evaluation is especially braked the noise of uttering long and high-pitched sounds of incident that is used for.Said assessment is carried out with a kind of denary scale, and described scale has 1 in 10 discrete rank.Refer to such an extent that be at this
The intolerable noise of uttering long and high-pitched sounds of 1=
...，
10=does not hear the noise of uttering long and high-pitched sounds.
The index that calculates is also referred to as " braking objective noise figure whistle " or " BONI whistle ", aspect appreciable interference, with people's hearing high compatibility is arranged.From the time-domain signal of the noise of uttering long and high-pitched sounds, proposing physiological and the psychologic acoustics feature constitutes assessment index by these features of combination later on.
A kind of like this index for example can adopt when using or check and accept automobile.Moving automobile on this highway section of often determining by various detection mobile communication, and subjectively judge brake noise, mainly is the noise of uttering long and high-pitched sounds.Although the physically identical noise signal of uttering long and high-pitched sounds is arranged, at this both strong deviation can appear in different drivers' assessment, and also strong deviation can appear between same driver's assessment.The invention enables and can calculate assessment index by the air-borne sound signal that is write down is handled, described assessment index is corresponding to the interference of the described noise of uttering long and high-pitched sounds of average received.This assessment index makes it possible to just have reliable and objectively about the conclusion of the noise quality of braking in the application stage.Described assessment index has been proved in a large amount of hearing research the high correlation between people's the average interference susceptibility.
Described method provides a kind of assessment index to the interference of the noise of uttering long and high-pitched sounds of especially braking incident, and its value can be got 1 to 10 value along ordinate.At this, each value has meaning as can be seen from Fig. 1, and wherein higher value correspondingly identifies very little interference.
At this, in an air-borne sound signal x (t) who notes, determine the noise of uttering long and high-pitched sounds that exists under certain situation.In practice, x (t) for example can be the microphone signal that sends in the pilothouse.At first must discern sharp signal among the x (t), and be illustrated by its frequency time structure by a kind of suitable method.By provide after a kind of like this methods analyst x (t) each detected utter long and high-pitched sounds noise signal or the noise event q that utters long and high-pitched sounds (q=1,2 ..., Nq) following amount:
Start time tqstart and the concluding time tqend of-the described noise event q that utters long and high-pitched sounds,
The intermediate frequency fq of-described noise event q that utters long and high-pitched sounds,
The airborne-noise level Lg of-described noise event q that utters long and high-pitched sounds
Nq is the quantity of noise event of uttering long and high-pitched sounds.A plurality of noise events of uttering long and high-pitched sounds just can appear in a single braking procedure.
Different characteristic Mqi to the one section xq (t) among the noise event q signal calculated x (t) that utters long and high-pitched sounds of each discovery.At this, Mqi characterizes the value of the feature i of the noise event q that utters long and high-pitched sounds.
A kind of like this noise event of uttering long and high-pitched sounds is shown among Fig. 2.A kind of air-borne sound signal x (t) on the time t along the ordinate direction indication along the horizontal ordinate direction indication in this first half at Fig. 2.Detect between tqstart and the tqend and have the noise signal of uttering long and high-pitched sounds.Therefore between these two time points, mark described signal with xq (t).In this time period, in other words, when there being described uttering long and high-pitched sounds during noise event, for the described noise signal of uttering long and high-pitched sounds calculates various feature Mqi.In this feature some draw by feature is as calculated carried out association, for example draw by multiplying each other.
For example from xq (t) calculate with the feature Mq0 that goes out ..., Mq6:
1) Mq0: the time span of the noise event q that utters long and high-pitched sounds.The described time is represented with dq and draws by dq=tqend-tqstart
2) the tierce level Lq (A) of Mq1:A-weighting
3) the maximum tone level LqPeak (A) in the peak value of the Mq2:A weighting spectrum
4) Mq3: according to the ISO532B intrinsic loudness Ns of DIN45631 in other words
5) Mq4: the product of time span and A-weighted tierce level, dq*Lq (A) in other words
6) Mq5: the product of time span and A-weighted spike sound level, dq*Lqpeak (A) in other words
7) Mq6: the product of the loudness of time span and intrinsic, dq*Ns in other words
Term A weighting is interpreted as a kind of frequency spectrum and the product that has at the assessment of the A shown in Fig. 4 curve.At this, in Fig. 4, write down with the hertz be unit frequency range be the sound pressure level of unit with the decibel.Described A assessment curve A mark.This curve is considered people's sound hyposensitiveness sensitivity.For example low frequency for example 50 hertz can be perceived than 1000 hertz of much higher acoustic pressures.If with frequency spectrum of A curve weighting, the sound of low frequency and high frequency and change the frequency of 1000-6000 hertz hardly of just decaying.The frequency spectrum of weighting listens sound level can directly compared by the people aspect its loudness sensitivity under different frequencies.Consider a frequency spectrum as concrete example with not weighting of following two tones with which:
-have one 50 decibels sound pressure level 50 hertz tone and
-have a tone of 1000 hertz of one 20 decibels sound pressure level
Cause with the weighting of a kind of A curve
-30 decibels of 50 hertz of decay.Thereby drawing at 50 hertz is 20 decibels an A weighting sound level, and
-0 decibel of 1000 hertz of decay.Thereby drawing at 50 hertz is 20 decibels an A weighting sound level.
Thereby these two tone senses one 20 decibels corresponding A-weighting sound levels are identical loudness.
Loudness Ns is another amount of statement people's loudness sensitivity.Wherein, normalized amount is very actual in ISO532B, for example considers to cover single tone and the sound equipment susceptibility relevant with sound level by other the tone that rings.
Can calculate the frequency spectrum of a time-domain signal, wherein time-domain signal is divided into the isometric period, respectively calculate a frequency spectrum for the described period.The said period can overlap, and in order to improve the result, uses the window function weighting in the past at the described frequency spectrum of calculating under certain situation.Then by showing the total frequency spectrum of the described signal of each frequency spectrum mean value computation, wherein in the corresponding all values of same frequency averaging.In contrast, draw a kind of peaks spectrum from mentioned single frequency spectrum, wherein each frequency in each frequency spectrum is searched maximal value and is logged in correspondingly in the peaks spectrum that draws then.
Under the practical situations of identification brake squeal noise, by asking arithmetic mean to constitute a level and smooth frequency spectrum to the sound pressure level of the not smooth spectrum in the frequency band of 1 three degree.This sound level that is also referred to as the smooth spectrum of three degree frequency spectrums is also referred to as the tierce level.
Can also obtain the value of this feature by means of fft analysis (FFT=" fast fourier transform ").The fact shows that following setting is suitable for fft analysis: FFT length=4096 analyzing spot, the overlapping of time window=50% is used the Hamming window weighting.
In order in further calculating, to realize the utter long and high-pitched sounds index of noise of a kind of statement, all feature Mqi are gathered, that is: the feature of the kind i of the noise event q that utters long and high-pitched sounds among the signal x (t) that overlaps in time in other words that occurs simultaneously on the time is i feature in other words.The time that can also select to originate from same braking procedure is gone up the nonoverlapping noise event of uttering long and high-pitched sounds.
Described gathering respectively by all feature Mqi of kind i being summed into a feature and carrying out, thereby described feature and with the proprietary coefficient Ci normalization of feature and draw normalized feature and FSi
FSi＝Ci＊∑q(Mqi)。
Ci typically gets the value between 0.01 and 1.Represent all noise event q summations of uttering long and high-pitched sounds at this ∑ q.Thereby to each feature of kind i, just to Mq0, Mq1 ..., Mq6 correspondingly have a feature and FSi that is: FS0, SF1 ..., FS6.Will emphasize at this: described and FSi is merely able to extend on the noise event of uttering long and high-pitched sounds, and that is to say described feature and only comprises an addition number.
Then with feature and special COEFFICIENT K i to all normalized be weighted and they additions, thereby obtain ∑
iKi*FSi.Have feature Mq0, Mq1 ..., among this embodiment of Mq6, to i=0,1 ..., 6 sue for peace.
Using ∑
iKi carries out after the normalization, obtains an objectively amount OV, the noise q that utters long and high-pitched sounds that described objective amount OV representative gathers:
OV＝∑
i(Ki＊FSi)/(∑
iKi)。
By using described objective amount OV formula
Calculate objective assessment index b onisqueal.Here bonisqueal is defined as 1 to 10 value, thereby by means of the value of formula (1)
If-formula (1) draws one and just is made as 1 less than 1 incident, and
If-formula (1) draws one greater than 10 incident, just be made as 10.
A, b, c are optional parameters.Ki typically gets the value between 1 and 10.
The value bonisqueal round numbers that calculates for the accuracy aspect handle that further is reduced at average artificial assessment is significant.
The fact shows: it is specially suitable that described method parameter a, b, c take off train value:
a＝O.016，
b＝-23.64375，
c＝2.6327。
Amount bonisqueal is interfering evaluation quantity of single utter long and high-pitched sounds a noise or an a series of noise of uttering long and high-pitched sounds.
Carry out many brakings and/or docking process in actual Automobile Detection, these brakings and/or docking process can be aggregated into one and measure sequence so-called in other words " dialogue (session) ".So measure the frequency that sequence is talked with the noise event of determining to utter long and high-pitched sounds in other words for one.When calculating a measurement sequence assessment index or dialogue assessment index sessionbonisqueal, consider the described noise frequency of uttering long and high-pitched sounds.For example can consider one detection time the space or one detect Japan-China all braking procedures.
This at first be formed in whole detection times the space or detection limit value that determine on day, that keep decimal less than 9.5 arithmetic mean.In this mean value, only count definite noise event of uttering long and high-pitched sounds, yet the braking procedure that does not conform to the noise of uttering long and high-pitched sounds is not counted in but in this mean value.
In addition, determine described detection time the space detect Japan and China in other words, all and braking procedure that noise interrelates the ratio of uttering long and high-pitched sounds to the sum of described braking procedure.This ratio is called NP by the value that % determines.
So far do not enter and be determined described arithmetic mean because do not contain the braking of the noise of uttering long and high-pitched sounds, so followingly determine a kind of correction term that is called CORRECTION, described correction term is added in the described arithmetic mean.
The determining of this correction term is shown among Fig. 3.Along horizontal ordinate direction indication amount NP, that is to say ratio at this in the sum of the braking procedure of the noise of uttering long and high-pitched sounds containing of % and braking procedure.Value 100 refers to such an extent that be all to occur the noise of uttering long and high-pitched sounds in all braking procedures.Typing correction factor CORRECTION in ordinate.Correction factor CORRCTION gets between 1 to 8 the value of 0≤NP≤10% in this example, for NP＜10% modified value CORRECTION=0.
At this supporting location of in Fig. 3, determining 6 typings in chart, mark with stain by means of experimental study:
1) for NP=0.001 modified value CORRECTION=8
2) for NP=0.01 modified value CORRECTION=6
3) for NP=0.1 modified value CORRECTION=3
4) for NP=1 modified value CORRECTION=1.5
5) for NP=10 modified value CORRECTION=1
6) for NP＞10 modified value CORRECTION=0.
For example can adopt a kind of linear interpolation for the value in the middle of being positioned at, as shown in the chart.Certainly for described correction factor other modified value curve can also be arranged, and can determine other supporting location and or supporting location value.
Rise if consider the interference according to Fig. 1 noise when bonisqueal descends, the meaning of this correction term is believable.NP value very little in Fig. 3 means, has only in the very small part of described braking procedure the noise of uttering long and high-pitched sounds just to occur.Therefore when the NP value of decline is arranged, bonisqueal is added an always bigger value CORRECTION.This means that significantly it is rare more to occur noise in braking procedure, and the loudness of noise just descends more.
This modified value is added to does not also have amount bonisqueal round numbers or that obtain under 1 or 10 situation, and then obtain and round.
In addition
If-get value, so just described and be made as 1 less than 1
If-get value, so just described and be made as 10. greater than 10
This sessionbonisqueal of being called in 1 and 10 round valuess that obtain, similarly show as the utter long and high-pitched sounds index of loudness of noise of a kind of assessment.This index is illustrated among Fig. 1.
The flow process of method is shown among Fig. 5 as described in the present invention.After described method begins in square frame 501, study at least one braking procedure and assess with respect to the described noise of uttering long and high-pitched sounds.Then in square frame 502 about feature Mq1 ..., Mq6 analyzes the noise of uttering long and high-pitched sounds that is measured.For each feature a single assessed value is arranged under the situation of each noise of uttering long and high-pitched sounds.Then in square frame 503 by forming a feature evaluation and count FSi under the situation of noise that occurs each time uttering long and high-pitched sounds, carrying out association at the formed single feature evaluation number of this feature.In square frame 504, come to count definite one first intermediate quantity OV the FSi from described feature evaluation by a kind of weighted sum.In square frame 505, determine amount bonisqueal then according to illustrated relational expression (1).This represents measuring the noise of uttering long and high-pitched sounds that occurs in braking procedure.Then inquiry in square frame 506: whether described analysis only should launch in a braking procedure.If answer is "yes" (referring to "Yes" in Fig. 5), only consider a braking procedure in other words, just skipping to the directly described method of end of square frame 508.
If answering is "No" (referring to "No" in Fig. 5), to consider a plurality of braking procedures in other words, so in square frame 507:
-obtain the mean value of single definite bonisqueal value, and
-additionally add an item f (NP), wherein typing is with respect to the quantity of the braking procedure that the noise of uttering long and high-pitched sounds is arranged that is carried out of the sum of braking procedure, and this ratio is called NP.
Determine the sessionbonisqueal amount in square frame 509 thus, this is total interfering amount of the noise of uttering long and high-pitched sounds that occurs in braking procedure.Finish in method described in the square frame 508.
Claims (17)
1. be used to be evaluated under the situation of automobilism or the method for the annoyance of squeaking noises of the voice signal that under the situation of one of its parts of operation, produces, wherein
-survey exist (501) of at least a noise of uttering long and high-pitched sounds,
-this at least a noise of uttering long and high-pitched sounds of assessment aspect at least two features given in advance (Mqi), and
-definite interference (bonisqueal, sessionbonisqueal, 505,509) that characterizes this at least a noise level of uttering long and high-pitched sounds from least two assessments of this at least a noise of uttering long and high-pitched sounds.
2. the method for claim 1,
It is characterized in that,
The described noise of uttering long and high-pitched sounds is the brake squeal noise.
3. the method for claim 1,
It is characterized in that,
-in the voice signal amplitude spectrum, detect this at least a noise of uttering long and high-pitched sounds (501) by finding out a kind of maximal value, and
List at least two features (Mqi) of following feature,
Described feature comprises:
The time span of-described the noise of uttering long and high-pitched sounds,
The flat value of the descant of the amplitude spectrum of-process weighting
The descant of the spectrum that-weighted sum that obtains by level and smooth and weighting and from described amplitude spectrum is level and smooth is equalled value,
The specific loudness of-signal,
-from the time span of described sharp signal and described through the level and smooth spectrum of weighted sum multiply each other long-pending,
-from the product of the time span of described sharp signal and described spectrum through weighting,
-long-pending from the feature loudness of the time span of described sharp signal and described signal.
4. method as claimed in claim 3,
It is characterized in that,
-be each feature definite single assessment number (Mqi) (502) under the situation of at least a noise of uttering long and high-pitched sounds in these at least two features, and
-obtain the size (bonisqueal, sessionbonisqueal, 505,509) that characterizes the described noise loudness of uttering long and high-pitched sounds at least according to these two the single assessment numbers (Mqi) that are determined.
5. method as claimed in claim 4,
It is characterized in that,
-described at least a the noise of uttering long and high-pitched sounds is at least a brake squeal noise that occurs in braking procedure,
-be each feature in described at least two features (Mqi), by being carried out association, the single assessment number of the individual features of determining at each brake squeal noise forms a kind of feature evaluation number (FSi) (503), and
-from described two definite feature evaluation numbers, obtain the single interference volume (505,509) of the characteristic that is characterized in the noise of uttering long and high-pitched sounds that occurs in the described braking procedure at least.
6. method as claimed in claim 5,
It is characterized in that,
Described association is summation, especially a kind of summation of weighting.
7. method as claimed in claim 5,
It is characterized in that,
-summation by weighting, according to described at least two feature evaluation numbers (FSi) determine one first intermediate quantity (OV) (504) and
-according to described first intermediate quantity (OV) determine single interference amount (505, bonisqueal).
8. method as claimed in claim 7,
It is characterized in that,
Described single interference amount (bonisqueal) is determined according to first intermediate quantity of following relational expression
A, b, c are optional parameter in the formula, and OV is first intermediate quantity, and bonisqueal is a single interference amount (505).
9. method as claimed in claim 8,
It is characterized in that,
Be train value: a=0.016, b=-23.64375, c=2.6327 under above-mentioned optional parameter a, b and the c selection.
10. method as claimed in claim 8,
It is characterized in that,
-described single interference amount (bonisqueal) is got an immediate integer, and
If-determine that single interference amount is the value less than 1, so just described single interference amount (bonisqueal) is made as 1, and
If-determine that single interference amount is the value greater than 10, so just is made as 10 to described single interference amount (bonisqueal).
11. method as claimed in claim 8,
It is characterized in that,
At least two braking procedures of-enforcement,
-determine to be characterized in a total interference amount (sessionbonisqueal, 509) of the interference amount of the noise of uttering long and high-pitched sounds that occurs in the braking procedure,
-wherein in this total interference amount (sessionbonisqueal, 509), be introduced as that each braking procedure is determined and satisfy the mean value of the single interference amount (bonisqueal, 505) of a condition given in advance.
12. the method for claim 1,
It is characterized in that,
Described condition given in advance is for being lower than a threshold value, and especially threshold value 9.5, by the corresponding single interference amount of described threshold process (bonisqueal, 507).
13. method as claimed in claim 12,
It is characterized in that,
Additionally introduce one in described total interference amount (sessionbonisqueal, 509), introduced the number (NP) of the braking procedure that the noise of uttering long and high-pitched sounds is arranged that has carried out for the braking procedure sum in this.
14. method as claimed in claim 13,
It is characterized in that,
By means of a family curve given in advance, determine described according to the number of the braking procedure that the noise of uttering long and high-pitched sounds is arranged that has carried out for the braking procedure sum.
15. method as claimed in claim 14,
It is characterized in that,
Described family curve is a kind of dull negative characteristic.
16. method as claimed in claim 11,
It is characterized in that,
-described total interference is measured an immediate integer, and
If-determine total interference amount less than 1, so just total interference amount be made as 1 and
If-determine that total interference amount greater than 10, so just is made as 10 to total interference amount.
17. device, described device comprises the device that is used to implement the described method of one of above claim.
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| DE102005040193.7 | 2005-08-25 | ||
| DE102005040193 | 2005-08-25 | ||
| DE102005052630.6 | 2005-11-04 |
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| CN105190081A (en) * | 2013-04-17 | 2015-12-23 | Itt制造企业有限责任公司 | Method and device for real time estimation of the applied pressure and of noisiness in a brake element, in particular a brake pad |
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| CN108387308A (en) * | 2018-02-27 | 2018-08-10 | 安徽江淮汽车集团股份有限公司 | Gearbox is uttered long and high-pitched sounds off-line test method and its detecting system |
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