Fault Diagnosis Method for a Mine Hoist in the Internet of Things Environment-Reference-Cited by-同舟云学术

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Fault Diagnosis Method for a Mine Hoist in the Internet of Things Environment

Published:2018-06-13 Issue:6 Volume:18 Page:1920
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Li Juanli,Xie Jiacheng,Yang Zhaojian,Li Junjie

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

http://www.mdpi.com/1424-8220/18/6/1920/pdf

Reference35 articles.

1. A Novel RFID-Based Sensing Method for Low-Cost Bolt Loosening Monitoring

2. Super Capacitor Energy Storage Based MMC for Energy Harvesting in Mine Hoist Application

3. Fault diagnosis of deep groove ball bearing through discrete wavelet features using support vector machine;Kiran;Int. J. Comadem,2014

4. Fault diagnosis using partial syndromes: a modified Hopfield neural network approach

5. Class Mean Kernel Principal Component Analysis and Its Application in Fault Diagnosis

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