A Novel Feature Extraction and Fault Detection Technique for the Intelligent Fault Identification of Water Pump Bearings

A Novel Feature Extraction and Fault Detection Technique for the Intelligent Fault Identification of Water Pump Bearings

The reliable and cost-effective condition monitoring of the bearings installed in water pumps is a real challenge in the industry. This paper presents a novel strong feature selection and extraction algorithm (SFSEA) to extract fault-related features from the instantaneous power spectrum (IPS). The...

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Bibliographic Details
Main Authors: Muhammad Irfan, Abdullah Saeed Alwadie, Adam Glowacz, Muhammad Awais, Saifur Rahman, Mohammad Kamal Asif Khan, Mohammad Jalalah, Omar Alshorman, Wahyu Caesarendra
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sensors
Subjects:
induction motors
stator current sensing
voltage measurement
instantaneous power measurement
vibration measurement
feature selection
Online Access:https://www.mdpi.com/1424-8220/21/12/4225

Internet

https://www.mdpi.com/1424-8220/21/12/4225

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