Crack Fault Diagnosis of Automatic Mechanism Based on Shock Response Spectrum Features Extraction

doi:10.3969/j.issn.1000-1093.2016.09.027

Abstract

Abstract: A new crack fault diagnosis method is presented for the automatic mechanism of high-speed gun. The method uses shock response spectrum (SRS) for features extraction. Impact vibration data are acquired in the weapon firing test in which different cracked parts are used. These data are separated according to gun operation status. The shock response spectra of the separated data are computed. Two new definitions of relative peak ratio and relative peak frequency ratio of response spectrum are proposed based on different response characteristics of response spectrum area. The relative peak ratio and relative peak frequency ratio as fault features are extracted. The various faults are recognized by comparing the Statistical distribution pattern of fault characteristic values under different crack conditions. The experimental result shows the proposed method can be used effectively and accurately to diagnose the crack failures of gun automatic mechanism and is particularly applicable for on-line monitoring.

Key words: ordnance science and technology, fault diagnosis, operation status, shock response spectrum, relative peak ratio, relative peak frequency ratio

CLC Number:

TJ06

LI Hai-guang， PAN Hong-xia， REN Hai-feng. Crack Fault Diagnosis of Automatic Mechanism Based on Shock Response Spectrum Features Extraction[J]. Acta Armamentarii, 2016, 37(9): 1744-1752.

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