Empirical study on fine-tuning pre-trained large language models for fault diagnosis of complex systems.
Shuwen ZhengKai PanJie LiuYunxia ChenPublished in: Reliab. Eng. Syst. Saf. (2024)
Keyphrases
- empirical studies
- fine tuning
- language model
- complex systems
- fault diagnosis
- pre trained
- language modeling
- dynamic systems
- training data
- fault detection
- neural network
- n gram
- industrial systems
- probabilistic model
- expert systems
- information retrieval
- control signals
- training examples
- speech recognition
- fuzzy logic
- chemical process
- operating conditions
- multi agent systems
- monitoring and fault diagnosis
- physical systems
- discrete event systems
- multi sensor information fusion
- real time
- artificial intelligence
- mathematical models
- decision making
- data fusion
- language models for information retrieval
- non stationary
- semi supervised