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Applied artificial intelligence-based equipment condition monitoring in manufacturing industry
Tariq Ahamed Ahanger
, Munish Bhatia
,
Abdulrahman Alabduljabbar
,
Abdullah Albanyan
Management Information Systems
Information Systems
Software Engineering
National Institute of Technology Kurukshetra
Research output
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peer-review
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Computer Science
Anomaly Detection
66%
Artificial Intelligence
100%
Blockchain
33%
Convolutional Neural Network
33%
Decision-Making
33%
Digital Twin
33%
Digital Twin Technology
100%
Environmental Variation
33%
Internet-Of-Things
33%
Manufacturing Sector
33%
Monitoring System
33%
Neural Network Approach
33%
Prediction Performance
33%
Presented Approach
33%
Stability Analysis
33%
Engineering
Anomaly Detection
50%
Artificial Intelligence
100%
Blockchain
25%
Convolutional Neural Network
25%
Dimensional Accuracy
25%
Directional
25%
Health Monitoring
25%
Health Monitoring System
25%
Internet-Of-Things
25%
Machine Tool
25%
Neural Network Approach
25%
Prediction Performance
25%
Smart Manufacturing
25%
Stability Analysis
25%
Chemical Engineering
Anomaly Detection
50%
Artificial Intelligence
100%
Digital Twin
100%
Neural Network
25%
Material Science
Digital Twin
100%
Machine Tool
25%
Machining
50%