Journal ArticleDOI
Rub failure signature analysis for large rotating machinery
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TLDR
In this paper, a new technique combining principal components analysis and autoregressive spectra (PCAT) is introduced to diagnose rub failure between rotating and stationary parts using only ordinary FFT spectra or auto-regressive spectra.About:
This article is published in Mechanical Systems and Signal Processing.The article was published on 1990-09-01. It has received 6 citations till now.read more
Citations
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Design of artificial neural networks for rotor dynamics analysis of rotating machine systems
TL;DR: In this paper, a neural network predictor is designed for analyzing vibration parameters of the rotating system, where the vibration parameters (amplitude, velocity, acceleration in vertical direction) are measured at bearing points.
Journal ArticleDOI
RETRACTED: Design of artificial neural networks for rotor dynamics analysis of rotating machine systems
TL;DR: A Neural Network predictor investigation is presented for analyzing vibration parameters of the rotating system and showed that the network would be used as analyzer of such systems in experimental applications.
Journal ArticleDOI
Rotor Dynamics Analysis of Rotating Machine Systems Using Artificial Neural Networks
TL;DR: In this paper, a direct-coupled rotor system was designed to analyze the dynamic behavior of rotating systems in regard to vibration parameters, including amplitude, velocity, and acceleration in the vertical direction.
Journal ArticleDOI
Data Analysis for Predictive Maintenance of Servo Motors
TL;DR: In this paper, a PLC-based vibration and temperature measurement system was proposed to detect power supply failure on a servo motor while it was running, with or without load.
Journal ArticleDOI
RETRACTED ARTICLE: Vibration response of rotating mechanical systems using experimental techniques and artificial neural networks
TL;DR: In this article, a neural network predictor is presented for analyzing vibration parameters of a rotating system, such as amplitude, velocity, and accelertion in the vertical direction, at bearing points.
References
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Journal ArticleDOI
Spectrum analysis—A modern perspective
Steven Kay,S.L. Marple +1 more
TL;DR: In this paper, a summary of many of the new techniques developed in the last two decades for spectrum analysis of discrete time series is presented, including classical periodogram, classical Blackman-Tukey, autoregressive (maximum entropy), moving average, autotegressive-moving average, maximum likelihood, Prony, and Pisarenko methods.
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Computational experience with Marple's algorithm for autoregressive spectrum analysis
TL;DR: In 1980 two different recursive algorithms were published, complete with Fortran programs, for autoregressive (AR) spectral estimation, based on least‐squares solutions for the AR parameters using forward and backward linear prediction.