Fault recognition method for speed-up and speed-down process of rotating machinery based on independent component analysis and Factorial Hidden Markov Model

By Zhinong Li, Yongyong He, F. Chu, Jie Han, Wei Hao. 2006

53 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Control and Systems Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/798978ef6ce2a0db4fa967f65a3c3feceb8ea9b6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Signal Processing

1. Bhavya Mor
2. Ajay Kumar
3. Sunita Garhwal

Citations in the corpus

• A Systematic Review of Hidden Markov Models and Their Applications (2020, methodology): “[99] recognized faults using independent component analysis (ICA) and FHMM. ICA reduced redundancy and extracted features from multi-channel detection.”