Mechanical system fault detection method based on broadband spectrum processing

Abstract

The invention discloses a mechanical system fault detection method based on broadband spectrum processing. The method comprises the following steps that S1, an acoustic sensor collects a voiceprint signal s(n) of the running state of a mechanical system; S2, noise suppression processing ss(n) is carried out on the acquired signal s(n); S3, delay acquisition is carried out on the normal state signal, and a normal state voiceprint library N_S(n) is formed through the step S2; S4, voiceprint matching is carried out on ss(n) based on N_S(n), in the matching case, a normal state voiceprint libraryN_S(n) is updated, and in the not matching case, a fault state voiceprint library and fault label editing are updated; and S5, if a fault is found, early warning prompt is carried out, the step S1 isreturned, and if no fault exists, the step S1 is returned. The method does not depend on priori knowledge of fault signals, the information utilization rate of the signals is high, the signal-to-noiseratio of the signals is improved, and the detection result is more accurate.

Description

technical field [0001] The invention belongs to the field of signal processing, and in particular relates to a mechanical system fault detection method based on wide-band spectrum processing. Background technique [0002] In the early stage, the fault diagnosis of the mechanical system mainly relied on the experience of relevant personnel, and judged whether there was a fault in the mechanical equipment through the vibration, sound and other characteristics generated during the operation of the mechanical equipment. It was not until the 1960s that the fault diagnosis of mechanical systems gradually developed as a system discipline. This technology uses signal analysis and diagnosis methods to monitor and evaluate the operating status of the mechanical system, and establishes a matching mechanical equipment maintenance system, which can effectively reduce the occurrence of accidents, ensure the normal operation and safe production of equipment, and It can fundamentally solve...

AI Technical Summary

Problems solved by technology

[0004] In view of the shortcomings of the prior art described above, the purpose of the present invention is to provide a mechanical system fault detection method based on broadband spectrum processing to solve the problems in the prior art that the information utilization rate of signals is not high and the anti-interference ability is poor

Images