Abnormality diagnosis system for machinery

A technology for abnormal diagnosis and mechanical equipment, which is applied in the direction of mechanical bearing testing, measuring devices, instruments, etc., and can solve problems such as inability to identify abnormal vibrations, increasing the number of sensor settings, and the large number of input circuits and wiring of signal processing units, etc.

Active Publication Date: 2007-03-07
NSK LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0031] However, in the conventional abnormality diagnosis device, since it is necessary to install vibration sensors for each axle box, the number of sensors installed per vehicle increases, and the input circuit and wiring of the signal processing unit for processing sensor signals The number

Method used

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  • Abnormality diagnosis system for machinery
  • Abnormality diagnosis system for machinery
  • Abnormality diagnosis system for machinery

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no. 2 Embodiment

[0199] 9 is a block diagram showing a second embodiment of the abnormality diagnosis system of the present invention, and FIG. 10 is a block diagram showing an embodiment of a microcomputer (MPU) and its peripheral circuits which are specific components of the abnormality diagnosis system of the present invention.

[0200] As shown in Figure 9, the abnormal diagnosis system of the present invention comprises: amplification filter (filter processing unit) 201, A / D converter 202, the first digital low-pass filter 203, the first extraction unit (extraction unit) 204 , an envelope processing unit 205, a second digital low-pass filter 206, a second sampling unit (extraction unit) 207, an FFT operation unit 208, a diagnosis unit 209, a speed conversion processing unit 210, and a diagnosis result output unit 211.

[0201] The amplification filter 101 receives a signal detected by a sensor (vibration sensor, acoustic sensor, etc.) that detects sound or vibration generated by a mechanic...

no. 3 Embodiment

[0218] Fig. 16 is a block diagram showing a third embodiment of the abnormality diagnosis system of the present invention. In the third embodiment, the digital low-pass filters 203 and 206 provided before and after the envelope processing unit 205 in the second embodiment and the decimation processing unit 204 before the envelope processing unit 205 are omitted. This configuration can be applied even if the S / N ratio is slightly lowered, as long as the frequency resolution of the envelope waveform analysis can be improved by FFT calculation with a small number of points.

[0219] The decimation process, which does not use a digital low-pass filter, suffers from aliasing and instead acts as a low-pass filter process itself. Furthermore, the result of the envelope processing itself also serves as the low-pass filter processing, so it is considered that the digital low-pass filter 206 before the decimation processing section 207 is omitted in many cases. If no aliasing is known ...

no. 4 Embodiment

[0223] Fig. 17 is a block diagram (hardware configuration diagram) showing a fourth embodiment of the abnormality diagnosis system of the present invention. 18 is a flowchart showing the flow of a series of processing in the abnormality diagnosis system of the fourth embodiment. A synchronous DRAM (SDRAM) 221 a , a flash memory 222 , an amplification filter (filter processing unit) 223 , and a liquid crystal display (LCD) 224 are connected to the microcomputer 220 .

[0224] Microcomputer 220 includes DSP220b and flash RAM220c in addition to CPU220a.

[0225] DSP220b has a built-in X / Y-RAM220e composed of X-RAM and Y-RAM connected by a dedicated bus, so that the product-sum operation can be executed with a dedicated command in one cycle. The capacities of the X-RAM and the Y-RAM are each 8 kilobytes. DSP220b plus the command bus can access three buses at the same time, and can execute multiple commands at the same time. X / Y-RAM is called dual-channel RAM, dual-arm access RA...

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Abstract

An abnormality diagnosis system for machinery comprises an envelope processing section (103) for determining the envelope of a detection signal, an FFT section (104) for converting the envelope into a frequency spectrum, a peak detecting unit (105) in which the frequency spectrum is smoothed by the moving average method, the resultant spectrum is subjected to a smoothed differentiation, frequency points at which the sign of differential coefficient changes from positive to negative are detected as peaks, peaks higher a predetermined threshold are extracted and sorted, and the higher ones are detected as peaks, and a diagnosis section (T) for performing abnormality diagnosis on the basis of the detected peaks.

Description

technical field [0001] The present invention relates to abnormality diagnosis technology of mechanical equipment including bearings such as railway vehicles, aviation machinery, wind power generators, lathes, automobiles, ironmaking machinery, papermaking machinery, and rotating machinery. An abnormality diagnosis technology of mechanical equipment that diagnoses abnormalities of bearings or bearing-related components in the mechanical equipment using sound or vibration. Background technique [0002] Conventionally, as such an abnormality diagnosis technique, a technique is known in which a signal representing sound or vibration from a sliding part of a mechanical device or a member related to the sliding part is detected, and the frequency spectrum of the detected signal or its envelope signal is obtained, from Only the frequency component caused by the abnormality of the sliding part of the mechanical equipment or the related components of the sliding part of the mechanica...

Claims

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Application Information

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IPC IPC(8): G01H17/00G01M13/04
Inventor 佐原淳太郎武藤泰之宫坂孝范山添正信
Owner NSK LTD
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