scholarly journals Improved Newton-type algorithm for adaptive implementation of Pisarenko's harmonic retrieval method and its convergence analysis

1994 ◽  
Vol 42 (2) ◽  
pp. 434-437 ◽  
Author(s):  
G. Mathew ◽  
S. Dasgupta ◽  
V.U. Reddy
Keyword(s):  
Convergence Analysis ◽  
Retrieval Method ◽  
Harmonic Retrieval ◽  
Type Algorithm

A Numerical Approach for Harmonic Retrieval and its Application in Motor Vibration Fault Diagnosis

2010 ◽  
Vol 43 ◽  
pp. 288-292
Author(s):  
Long Xing Yang ◽  
Hua Wei Chai
Keyword(s):  
Fault Diagnosis ◽  
Numerical Approach ◽  
Rotating Machinery ◽  
Numerical Parameter ◽  
Fixed Frequency ◽  
Retrieval Method ◽  
Harmonic Retrieval ◽  
Motor Vibration ◽  
Machinery Fault Diagnosis ◽  
Fault Characteristic

A numerical parameter match approach for harmonic retrieval is presented to improve the demerits of harmonic retrieval methods, such as complicated calculation, low precision and false frequency appearance. The theory deduction and computer simulation are given to show the validity of the approach, and the implementary steps are offered. Based on the characteristics of the motor vibration fault signals exhibiting cyclostation and harmonic information, the numerical harmonic retrieval method can not only search fixed frequency but also match fault characteristic frequency. By the amplitude modulation fault examples, the degrees of modulation variation are employed to validate the availability of the approach in rotating machinery fault diagnosis.

Convergence analysis of smoothed stochastic gradient-type algorithm

1987 ◽  
Vol 18 (6) ◽  
pp. 1061-1078 ◽  
Author(s):  
NADAV BERMAN ◽  
ARIE FEUER ◽  
ELIAS WAHNON
Keyword(s):  
Convergence Analysis ◽  
Stochastic Gradient ◽  
Type Algorithm ◽  
Gradient Type
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