Title :
An analysis of a model base signal for trouble detections [in electric machines]
Author :
Koishi, Takao ; Watanabe, Yasuhito ; Ishii, Rokuya
Author_Institution :
Div. of Electr. & Comput. Eng., Yokohama Nat. Univ., Japan
Abstract :
In this paper, the authors consider a signal model based on frequency modulation. They present an algorithm for the detection of optimal parameters for approximation of signals. As a result, by evaluating errors, signals sampled by a sufficiently large sampling frequency can be approximated by the proposed algorithm. The authors use signals observed from the bearings of rotating machines as input signals, and show that detected parameters are useful for trouble detection
Keywords :
fault diagnosis; machine bearings; machine theory; error evaluation; fault diagnostics; input signals; model base signal analysis; rotating machine bearings; sampling frequency; signal approximation; trouble detection; turn-around points; Approximation algorithms; Approximation methods; Electrooptic modulators; Frequency modulation; Monitoring; Nonlinear equations; Phase modulation; Sampling methods; Signal analysis; Signal detection;
Conference_Titel :
Industrial Electronics, Control, and Instrumentation, 1995., Proceedings of the 1995 IEEE IECON 21st International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-3026-9
DOI :
10.1109/IECON.1995.483945
