Equipment Abnormal Degree Detection Approach Based on Interface Detector with Variable-sized Boundary Samples

doi:10.3901/JME.2020.10.057

Abstract

Abstract: The interface detector with variable-sized boundary samples (VI-detector) is presented based on the optimized radii of training samples according to their distributions and the place in the self space, which can detect the abnormal degree of equipment rapidly without fault sample. VI-detector not only reflects the various fault states of bearing, but also reflects the fault degree of the equipment by the abnormal degree function when analyzed the bearing state data used VI-detector. The VI-detector can detect the faults of equipment by learning normal data without fault data, which is built with variable-sized boundary samples and their position information. It can efficiently detect the abnormal of the equipment that lacks fault data.

Key words: negative selection algorithm, artificial immune algorithm, abnormal degree, anomaly detection, bearing

CLC Number:

TP306

LI Dong, SUN Xin, LIU Shulin. Equipment Abnormal Degree Detection Approach Based on Interface Detector with Variable-sized Boundary Samples[J]. Journal of Mechanical Engineering, 2020, 56(10): 57-63.

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