An Intelligent Diagnosis Method for Rotating Machinery Using Least Squares Mapping and a Fuzzy Neural Network

An Intelligent Diagnosis Method for Rotating Machinery Using Least Squares Mapping and a Fuzzy Neural Network

This study proposes a new condition diagnosis method for rotating machinery developed using least squares mapping (LSM) and a fuzzy neural network. The non-dimensional symptom parameters (NSPs) in the time domain are defined to reflect the features of the vibration signals measured in each state. A...

Full description

Bibliographic Details
Main Authors: Peng Chen, Shiming Wang, Ke Li
Format: Article
Language:English
Published: MDPI AG 2012-05-01
Series:Sensors
Subjects:
condition diagnosis
least squares mapping
possibility theory
Dempster & Shafer theory
fuzzy neural network
Online Access:http://www.mdpi.com/1424-8220/12/5/5919

Similar Items

Similar Items