Slice Spectrum of AR Trispectrum for the Fault Diagnosis of the Hydraulic Control Valves
Slice specturm is investigated as data mining techniques in the fault diagnosis of hydraulic control valves in this paper. The characteristics of vibration signals obtained from the control valves have been extracted by means of analyzing the 2-dimensional of trispectrum, with the main goal of detecting a possible working condition including the normal and fault conditions. The experimental analysis shows that there are distinct bump values in the center of the two-dimensional slices of trispectrum space in the fault conditions, on the contrast, the bump values disappear in normal condition. The experimental and theoretical results have indicated that trispectrum is a more suitable tool for diagnosing the faults of the hydraulic control valves.
Wenzhe Chen, Qiang Li, Yonglu Chen, Pinqiang Dai and Zhengyi Jiang
B. S. Chen et al., "Slice Spectrum of AR Trispectrum for the Fault Diagnosis of the Hydraulic Control Valves", Advanced Materials Research, Vols. 476-478, pp. 2193-2196, 2012