EP1771740A1 - Procede et programme informatique pour detecter l'immobilisation d'un roulement, et roulement pouvant faire l'objet de cette detection - Google Patents

Procede et programme informatique pour detecter l'immobilisation d'un roulement, et roulement pouvant faire l'objet de cette detection

Info

Publication number
EP1771740A1
EP1771740A1 EP05768289A EP05768289A EP1771740A1 EP 1771740 A1 EP1771740 A1 EP 1771740A1 EP 05768289 A EP05768289 A EP 05768289A EP 05768289 A EP05768289 A EP 05768289A EP 1771740 A1 EP1771740 A1 EP 1771740A1
Authority
EP
European Patent Office
Prior art keywords
rolling bearing
sensor
samples
average
rolling
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.)
Withdrawn
Application number
EP05768289A
Other languages
German (de)
English (en)
Inventor
Alfred Pecher
Sven Gempper
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.)
Schaeffler Technologies AG and Co KG
Original Assignee
Schaeffler KG
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 Schaeffler KG filed Critical Schaeffler KG
Publication of EP1771740A1 publication Critical patent/EP1771740A1/fr
Withdrawn legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
    • G01P13/00—Indicating or recording presence, absence, or direction, of movement

Definitions

  • the present invention relates to a method and a computer program product (also referred to as computer program or software for short) according to claim 1 or 19 for standstill detection of a roller bearing and an evaluable by means of the aforementioned method rolling bearing according to claim 20.
  • Rolling bearings are used in every industrial machine. Due to the ever-increasing demands on the service life and the reliability of such machines, there is an increasing need to be able to determine whether the rolling bearing rotates or actually stands still. This information is particularly difficult to win, if the rolling bearing possibly rotates very slowly, because then with signals that are recorded and evaluated for standstill detection, due to the noise in the transmitter or in the sensor arrays as well as in this border area often only small Signal gradients difficult to distinguish between standstill and slow rotation.
  • the present invention is based on the object to provide a safe detecting, but as efficient as possible method for standstill detection of a rolling bearing, which should also be feasible as a computer program. Furthermore, a rolling bearing is to be created, which can be connected or connected to an evaluation device in which the standstill detection is carried out safely and as efficiently as possible.
  • the inventive method according to claim 1 provides to scan the wavy signal dependent on the rotational position of the rolling bearing at several intervals, to calculate the mean value of the samples in each interval and to compare the mean value of the first interval with the mean values of the following intervals.
  • the rolling bearing is considered to be stationary as long as the mean values of the following intervals do not differ significantly from the mean value of the first interval.
  • the rolling bearing can be regarded as stationary as long as the gradient between the first average and the respective average of the other intervals does not differ significantly from 0.
  • a standstill of the rolling bearing can be assumed as long as either one of the two aforementioned conditions is met or cumulatively both of the aforementioned conditions are met.
  • the respective average values determined particularly efficient and with very little storage space requirement, wherein the comparison of the following averages with the first average or the comparison of the gradient with the number 0 is performed as a comparison with a preferably adjustable threshold
  • the speed of detecting a standstill of the rolling bearing can be increased if, according to claim 11, the intervals adjacent to each other or interleaved according to claim 10, the method can be easily configured if according to claim 9 every interval equal to many sampling times are assigned
  • the method according to the invention works particularly effectively when each of the time intervals covers at most one angle of rotation of the rolling bearing which corresponds to less than one quarter of the complete rollover of a sensor by a rolling body - ie a rotation angle of 907z for z rolling elements
  • the inventive method can also be used according to claim 18, a possibly occurring reciprocating motion of the rolling bearing - usually "Ruckein - to detect a rotation angle of less than 3607z, when the signals of all sensor arrays
  • the rolling bearing according to the invention according to claim 20 comprises an evaluation device, with which the methods according to claims 1 to 18 or alternatively on a storage medium (eg RAM, ROM, CD, DVD, floppy disk, hard disk, flash memory, etc) storable and / or or via a network retrievable computer program according to claim 19 can be executed
  • a storage medium eg RAM, ROM, CD, DVD, floppy disk, hard disk, flash memory, etc
  • the evaluation device which is preferably designed as an ASIC in a chip, has only limited computing capacities due to the placement in the groove of the outer ring.
  • the width of the chip is determined a priori by the width of the outer ring of the bearing devissnchtung the outer ring not too long, otherwise due to the curvature of the outer ring located in the groove chip are disproportionately bent
  • FIG. 3a to 3c each show a non-interfering section of a signal to be evaluated with different possibilities of arranging the sampling intervals, wherein FIG. 3a shows scanning intervals adjacent to one another, FIG. 3b spaced scanning intervals and FIG
  • FIGS. 1 and 2 show the main components of the rolling bearing 20 according to the invention, a so-called intelligent bearing.
  • the representation is symbolic and serves as an illustration, but is not to be regarded as limiting
  • the intelligent bearing is to provide the user information, whether the rolling bearing (hereinafter abbreviated to "bearing") 20 rotates or not.
  • a bearing 20 includes an inner ring 21 and an outer ring 22, on the outside of a circumferential Langsnut 23 is provided between the Inner ring 21 and outer ring 22 are rolling elements 24 arranged, so that the inner ring 21 is rotatable relative to the outer ring 22 are for receiving the data sensor assemblies 26 - also called “sensors” 26 - which in the preferred embodiment each four to a Wheatstone Bridge circuit summarized strain gauges 31 to 34, which are housed in an outer longitudinal groove 23 in the outer ring 22 and whose resistance is changed by the rolling through the rolling elements 24 further is schematically - A -
  • a printed circuit board 28 arranged in the groove 23 is shown, which establishes the conductor connections between the individual strain gauges 31 to 34 of each sensor 26 and the conductor connections between the sensors 26 and the later-described evaluation devices 50.
  • the direction of movement of the rolling bodies 24 is indicated by an arrow A in FIG designated
  • the groove 23 and thus the printed circuit board 28 is located in the entire circumference of the outer ring 22 with equidistant spaced sensors 26 (strain gauges 31 to 34) and a corresponding, for example, two evaluation units 50 and 51 comprehensive, evaluation device 50 for each sensor, as later
  • the resulting lo sensor signal 40 is to be evaluated in a suitable manner by the evaluation device 50, preferably electrical circuits in the form of user-specific circuits, so-called ASICs (Application Specific Integrated Circuits), in which case the inventive method for standstill detection running in the ASICs dimensioned in such a way that, despite the limited installation space and thus the limited chip size, a consistent evaluation of the data is possible.
  • the complete unit of sensor and intelligent evaluation hardware thus provides a so-called “smart sensor ", which allows the potential customer to provide a possible standstill of the warehouse 20 in real time
  • the four strain gauges connected to a Wheatstone bridge (hereinafter also abbreviated to DMS) 31 to 34 of a sensor 26 are arranged in the longitudinal direction of the groove 23 so that their distance from one another is half
  • Strain gauges 31 and 33 or 32 and 34 of a bridge are simultaneously rolled over by rolling bodies 24
  • Groove 23 is also again half the rolling element distance to the last
  • FIG. 1 An example with z sensors, of which only two sensors 29 and 30 are shown, is likewise shown in FIG. 1.
  • Four DMS (designated with different symbols) form a sensor 35, in this case 36, 37, 38 and 39 the sensor 29 and 46, 47, 48 and 49 the sensor 30
  • the distances of the individual strain gauges within a sensor are significantly reduced, and also the distance from one sensor to the next can therefore reasonably be greatly reduced
  • a "jolt" of the bearing 20 so a Reciprocating at relatively small angles of rotation, can be detected, which might not otherwise be possible with larger sensor pitches could be realized to the illustrated sensors 29 and 30 are then followed by other, not shown sensors
  • a further possible arrangement of the sensors results from the fact that the eight successive DMS of two sensors (here the sensors 29 and 30 are considered for the sake of comparison) are deviated from the representation in FIG. 1 in the form, ie the sensors are nested in one another like a comb in that, in the longitudinal direction of the groove 23, the strain gages are assigned to the sensors as follows: Em first sensor comprises the strain gauges 39, 37, 49 and 47, and a second sensor comprises the strain gauges 38, 36, 48 and 46 Further such sensors can be provided However, this does not show that two phase-shifted edges (signals 40) are generated in a very small space by rolling over, which are particularly well suited for the evaluation of oscillatory motions
  • strain gauges for example, the first and the second strain gages
  • a third or fourth strain gage each with a non-strain-sensitive resistor of one Wheatstone half-bridge.
  • sensors such as piezoelectric or magnetic can be used Sensors can be used In this case, a different ratio of sensors to rolling elements may result
  • FIG. 2 shows, schematically and by way of example for a sensor, the geometric distribution of strain gauges and rolling bodies 24 in the groove 23 of the outer ring 22.
  • the bridge output voltage increases with constant supply voltage U B as the strain gages deform due to the rolling bearing compression U A (t) on
  • the strain gauges cross-connected in the bridge circuit are synchronously rolled over or deformed, whereby the increase in the output voltage is further increased.
  • the strain gauges DMS1 31 and DMS3 33 are increasingly relieved until they have reached their original resistance value again and the bridge is almost balanced During the subsequent rolling of the strain gauges DMS2 32 and DMS4 34, the same course of the output voltage occurs, only because of the polarity of the bridge circuit with the opposite sign, so that ultimately a w elliptical, approximately sinusoidal course arises
  • FIGS. 3a to 3c a small section of a typical course of the signal 40 after the zero crossing is shown in each case to illustrate the different possibilities, for which reason the signal 40 appears linear although it is actually undulating.
  • the first sampling interval J 1 each begins exactly at the zero crossing, although this is usually not the case, since the location of this first sampling interval J 1 depends on the starting time of the method
  • the intervals J k adjoin one another. That is, to the interval J 1 with N sampling times ⁇ to t N joins the interval J 2 with N sampling times Vi +1 to t 2N , and this in turn the interval J 3 with N sampling times t 2N + i to t 3N etc.
  • all sampling instants are used for standstill detection.
  • the sampling intervals are at a distance from one another.
  • L sampling time interval is sampled at the N sampling times of the first sampling interval J 1 from U to t N , and then wait until the sampling time t L until the remaining LN sampling times until reaching the second interval J 2 have passed.
  • J 2 is scanned again from the sampling time t L + i on N successive sampling times up to t L + N , and then ⁇ _ is waited for until the sampling time t 2 .
  • L is greater than N.
  • Such an arrangement of the intervals may be advantageous, for example, with extremely slow rotation of the rolling bearing 20.
  • the sampling intervals are interleaved.
  • the second interval J 2 ends with the sampling time t L + N , which corresponds to the first sampling time, V 1 + 1 , after the first interval J 1 . Due to this extreme overlapping of the intervals, a very fast standstill detection can possibly be achieved.
  • N and L are arbitrary, d. H. adapted to the particular characteristics of the bearing 20 to be detected and are usually determined empirically, the interval width can vary from system to system.
  • Fig. 4 is shown as a first embodiment, a simple method in which the sampling intervals adjacent to each other.
  • the parameters N are input as the number of sampling times per interval and a threshold value ⁇ .
  • the start values for the run variables n and k are set to 1, respectively.
  • the method is capable of processing the samples x ⁇ , x n + i, and so on.
  • the start value S 1 for the first sum from which the first average value MW 1 of the samples is subsequently calculated in the first sampling interval J 1 , is set to 0.
  • the current sample value X n is added in step S112.
  • step S114 the running variable n is incremented by 1, and in step S116, it is checked if the In other words, if n ⁇ N If the end of the first sampling interval has already been reached or exceeded (branch "NO"), in step S120 the first average value MW 1 is determined by dividing the first sampling interval Sum S 1 of the samples is calculated by the number N of samples. Otherwise (branch "YES”), the process returns to step S112 and continues until the end of the first sample interval J 1 is reached and the first average MW 1 is calculated Thereafter, in step S122, the running variable k is increased by 1, and in step S124, the k-th sum S k is set to 0
  • step S126 similar to step S112, the current sample is added to the current sum S k.
  • step S134 the first mean MW 1 is subtracted from the k-th mean MW k, and it is checked whether the amount of this difference is greater than the threshold ⁇ initially input. If so, which corresponds to the branch "YES", in Step S150 sets an output flag that the rolling bearing 20 rotates. This information may then optionally be output and / or displayed on a display 60. If the threshold ⁇ has not been exceeded, the process returns to step S122 and continues until at least the end of the next sampling interval J k + 1 is reached and the (k + 1) -th mean value MW k + 1 can be calculated In order to ensure continuous monitoring of the rolling bearing 20 for a possible standstill, it can be provided that the method step S150 goes back to step S122 and continues
  • step S102 in addition to the input of step S101, the input of parameter L is required, which determines the position of the intervals relative to one another.
  • the further method runs until step S124, first Then, in step S225, n is set to the value of (k-1) L + 1 to skip the LN samples since passing through step S116.
  • step S126 the known summation is made again, and in step S128 in step S230, it is checked whether the end of the k-th sampling interval has not yet been reached, that is, in other words, if n ⁇ (k-1) L + N If the end of the k-th sampling interval has already been reached, in step S132 again the k-th mean value MW k by dividing the sum S k of the samples of the k-th interval J k by the number N of the samples of this interval J k calculated Otherwise, the procedure goes to step S126 back and is continued at least until the end of the k-th sampling interval is reached and the k-th average MW can be calculated k.
  • Step S134 The further course of the process from Step S134 is performed as in the first embodiment
  • a threshold value ⁇ is now input in step S103 in addition to the parameters L and N. Thereafter, the method runs until the k-th mean value MW k is calculated After step S132, in step S333, the gradient grad k between the average values MW k and MW 1 is calculated by subtracting the first average MW 1 from the k-th average MW k and taking the difference by the distance (k Then, in step S335, it is checked if the amount of the gradient grad k is larger than the initial inputted threshold ⁇ .
  • step S150 a corresponding output flag is set. Otherwise, the process returns to step S126 to determine the gradient grad k + 1 in the (k + 1) th interval and in Step S335 to compare the amount thereof with the threshold value ⁇ . In order to ensure continuous monitoring of the rolling bearing 20 for a possible standstill, it can also be provided here that the method goes back to step S122 after step S150 and is continued
  • FIG. 7 shows a fourth embodiment of the method according to the invention.
  • step S104 a threshold value ⁇ and a threshold value ⁇ are input in addition to the parameters L and N. Thereafter, the method continues until the calculation of the k-th mean value MW k in step S132 as in FIGS After step S132, two branches are executed in parallel. Firstly, in step S134, as in FIGS.
  • step S150 an output flag for the rotation of the rolling bearing 20 is set if one of the two conditions of steps S134 and S335 is satisfied, which results in their ORing
  • the method may consider two different criteria for detecting rotation of the rolling bearing 20. If neither of the two conditions of steps S134 and S135 is met, the method will continue in each case from step S122. Again, if desired, the method may continue when a rotation of the rolling bearing 20 is detected in step S150
  • FIG. 8 shows a fifth embodiment of the present invention
  • the method according to the invention proceeds from step S104 to step S132 as in the fourth embodiment.
  • step S132 the gradient grad k is calculated in step S333 as in the fourth embodiment, after which the comparison of the amount of the difference between the mean values and the step S134 is made Threshold value ⁇ is executed, whereupon in step S335 the comparison of the magnitude of the gradient grad k with the threshold value ⁇ is performed.
  • step S150 can the output flag for the rotation of the
  • step S333 may also be executed only after step S134, or the sequence of steps S335 and S134 may be interchanged with each other
  • threshold values ⁇ and ⁇ are usually force-dependent, that is, they depend on the force with which the rolling bodies 24 act on the sensor arrangements 26 and 29, respectively. These threshold values ⁇ and ⁇ can either be selected according to theoretical specifications or determined empirically
  • a signal with a typical frequency of 1 Hz is sampled in an exemplary application with a frequency of 80 kHz.
  • the times t m of the sampling are accordingly spaced apart by 12.5 ⁇ s.
  • sums or intermediate sums S k that are no longer required after calculation of the associated mean value MW k and mean values MW k (except for the first mean value MW 1 ) and Gradients k , which are not required after comparison with the corresponding threshold values ⁇ or ⁇ , may be rejected without storage

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Rolling Contact Bearings (AREA)
  • Indicating Or Recording The Presence, Absence, Or Direction Of Movement (AREA)

Abstract

La présente invention concerne un procédé et un programme informatique pour détecter l'immobilisation d'un roulement comprenant z corps de roulement, z étant un entier, de préférence un nombre pair, et un dispositif de détection étant fixé au roulement et servant à fournir un signal ondulatoire qui dépend de la position de rotation du roulement lorsque celui-ci est en cours de rotation, ledit signal étant détecté et des valeurs de détection en étant déduites. Selon l'invention, une première valeur moyenne (MW<sub
EP05768289A 2004-07-30 2005-07-26 Procede et programme informatique pour detecter l'immobilisation d'un roulement, et roulement pouvant faire l'objet de cette detection Withdrawn EP1771740A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102004037358A DE102004037358B3 (de) 2004-07-30 2004-07-30 Verfahren und Computerprogrammprodukt zur Stillstandsdetektion eines Wälzlagers sowie Wälzlager
PCT/DE2005/001312 WO2006012853A1 (fr) 2004-07-30 2005-07-26 Procede et programme informatique pour detecter l'immobilisation d'un roulement, et roulement pouvant faire l'objet de cette detection

Publications (1)

Publication Number Publication Date
EP1771740A1 true EP1771740A1 (fr) 2007-04-11

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
EP05768289A Withdrawn EP1771740A1 (fr) 2004-07-30 2005-07-26 Procede et programme informatique pour detecter l'immobilisation d'un roulement, et roulement pouvant faire l'objet de cette detection

Country Status (5)

Country Link
US (1) US7860689B2 (fr)
EP (1) EP1771740A1 (fr)
JP (1) JP4736101B2 (fr)
DE (1) DE102004037358B3 (fr)
WO (1) WO2006012853A1 (fr)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR2893106B1 (fr) * 2005-11-09 2008-01-04 Snr Roulements Sa Roulement capteur de deformations comprenant au moins trois jauges de contrainte
FR2940836A1 (fr) * 2009-01-06 2010-07-09 Michelin Soc Tech Procede et dispositif de determination de l'etat de deplacement d'un vehicule
JP2011058951A (ja) * 2009-09-09 2011-03-24 Tokai Rubber Ind Ltd センサユニットおよびその取付方法
DE102010045912B4 (de) * 2010-09-21 2014-05-22 Deutsches Zentrum für Luft- und Raumfahrt e.V. Rotierbares Wälzlager
JP6650030B2 (ja) * 2016-05-25 2020-02-19 株式会社日立製作所 転がり軸受疲労状態予測装置及び転がり軸受疲労状態予測方法
JP7201542B2 (ja) * 2019-06-21 2023-01-10 ミネベアミツミ株式会社 転がり軸受、回転装置、軸受監視装置、軸受監視方法
JP6986050B2 (ja) * 2019-06-21 2021-12-22 ミネベアミツミ株式会社 軸受監視装置、軸受監視方法

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CH599552A5 (fr) * 1975-06-20 1978-05-31 Xamax Ag
GB2274512A (en) * 1993-01-26 1994-07-27 Mini Agriculture & Fisheries Activity monitor
JPH09261984A (ja) * 1996-03-18 1997-10-03 Jeco Co Ltd 回転検出方法及び回転検出装置
US5952587A (en) * 1998-08-06 1999-09-14 The Torrington Company Imbedded bearing life and load monitor
DE19911612C2 (de) * 1999-03-16 2001-05-23 Ats Elektronik Gmbh Verfahren zur selbsttätigen Erfassung von Bewegungs- und Lagezuständen von Personen
DE19938722B4 (de) * 1999-08-16 2010-10-07 Prüftechnik Dieter Busch AG Verfahren und Vorrichtung zur Analyse von Wälzlagern in Maschinen
DE10041093A1 (de) * 2000-08-22 2002-03-14 Bosch Gmbh Robert Sensoranordnung in einem Wälzlager und Verfahren zur Auswertung des Ausgangssignals der Sensoranordnung
NL1024372C2 (nl) * 2003-09-24 2005-03-29 Skf Ab Werkwijze en sensoropstelling voor belastingmeting op een lager met rollend element gebaseerd op modale vervorming.

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See references of WO2006012853A1 *

Also Published As

Publication number Publication date
WO2006012853A1 (fr) 2006-02-09
DE102004037358B3 (de) 2006-03-23
JP2008508540A (ja) 2008-03-21
US20080317396A1 (en) 2008-12-25
JP4736101B2 (ja) 2011-07-27
US7860689B2 (en) 2010-12-28

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