Optimization of condition-based maintenance using soft computing

Due to high costs associated with conventional maintenance strategies, application of soft computing in monitoring the condition of equipment to predict the health of various components of machine tools in manufacturing processes has attracted the attention of researchers. Soft computing is a better...

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Bibliographic Details
Published in:Neural computing & applications 2017-12, Vol.28 (Suppl 1), p.829-844
Main Authors: Goyal, Deepam, Pabla, B. S., Dhami, S. S., Lachhwani, Kailash
Format: Article
Language:English
Subjects:
Ant colony optimization
Artificial Intelligence
Breakdowns
Computational Biology/Bioinformatics
Computational Science and Engineering
Computer Science
Computer simulation
Computing costs
Condition monitoring
Data Mining and Knowledge Discovery
Decision making
Embedded systems
Expected values
Failure
Fault diagnosis
Fuzzy logic
Fuzzy systems
Genetic algorithms
Image Processing and Computer Vision
Machine tools
Machinery condition monitoring
Maintenance
Maintenance management
Manufacturing
Neural networks
Optimization
Particle swarm optimization
Preventive maintenance
Probability and Statistics in Computer Science
Productivity
Repair & maintenance
Review
Simulated annealing
Soft computing
Software
State-of-the-art reviews
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