After analysing the flaws of conventional fault diagnosis methods, data mining technology is
introduced to fault diagnosis field, and a new method based on C4. 5 decision tree and …

The rolling bearings play a vital role in mechanical production and transportation. However,
when it appears abnormal, the fault characteristics are weak and different to be extracted in …

Fault diagnosis is critical to ensure the safety and reliable operation of rotating machinery.
Most methods used in fault diagnosis of rotating machinery extract a few feature values from …

Because multi-fault vibration signals in rotating machinery are often more complicated than
single faults, human-designed fault feature sets are not yet able to respond adequately to …

Intelligent machinery fault diagnosis system has been receiving increasing attention recently
due to the potential large benefits of maintenance cost reduction, enhanced operation safety …

Condition monitoring of rotating machinery is important to promptly detect early faults,
identify potential problems, and prevent complete failure. Four direct classification methods …

Effective fault diagnosis of rotating machinery has always been an important issue in real
industries. In the recent years, data-driven fault diagnosis methods such as neural networks …

Fault diagnosis of rotating machinery is crucial to improve safety, enhance reliability and
reduce maintenance cost. The manual feature extraction and selection of traditional fault …

Fault diagnosis of rotating machinery plays a significant role in the reliability and safety of
modern industrial systems. The traditional fault diagnosis methods usually need manually …

The analysis of vibration signals has been a very important technique for fault diagnosis and
health management of rotating machinery. Classic fault diagnosis methods are mainly …