Equipment Condition Monitoring
Equipment Condition Monitoring is a systematic process within sensor networks for mining that involves the continuous acquisition and analysis of operational data from mining equipment to assess its health and performance status in real time, distinguishing it from general maintenance practices through its reliance on embedded sensors and predictive analytics for early fault detection and degradation assessment.
833
Publications
33.8K
Citations
2.4K
Authors
767
Institutions
Publications per year
2017–2026
400
Parents
833
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2.4K
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767

Shanghai Jiao Tong University
Shanghai, China
17 h-index
59 publications
3K citations

North China Electric Power University
Beijing, China
10 h-index
23 publications
890 citations

Chongqing University
Chongqing, China
10 h-index
20 publications
572 citations
National University of Singapore
Singapore, Singapore
10 h-index
23 publications
949 citations

Xi'an Jiaotong University
Xi'an, China
10 h-index
36 publications
1.7K citations
Georgia Institute of Technology
Atlanta, United States
10 h-index
17 publications
904 citations
Loughborough University
Loughborough, United Kingdom
9 h-index
23 publications
1K citations

University of Strathclyde
Glasgow, United Kingdom
8 h-index
16 publications
784 citations
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27 publications · 2K citations
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19 publications · 778 citations
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16 publications · 1.2K citations
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14 publications · 441 citations
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11 publications · 1.5K citations
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