A fuzzy logic-based approach for fault diagnosis and condition monitoring of industry 4.0 manufacturing processes.
Mirko MazzoleniKisan SardaAntonio AcerneseLuigi RussoLeonardo ManfrediLuigi GlielmoCarmen Del VecchioPublished in: Eng. Appl. Artif. Intell. (2022)
Keyphrases
- condition monitoring
- fault diagnosis
- manufacturing processes
- fault detection
- manufacturing systems
- neural network
- power transformers
- expert systems
- fuzzy logic
- rotating machinery
- bp neural network
- product quality
- monitoring and fault diagnosis
- operating conditions
- fault detection and diagnosis
- multiple faults
- analog circuits
- tool wear
- world wide
- electronic equipment
- chemical process
- mathematical models
- case study
- rapid prototyping
- decision support system
- gas turbine
- real time
- vibration signal
- machine learning
- markov chain
- intelligent systems
- process control
- complex systems
- power plant