Rotating machinery prognostics. State of the art, challenges and opportunities


Autoria(s): Heng, Soong; Zhang, Sheng; Tan, Andy; Mathew, Joseph
Data(s)

2009

Identificador

http://eprints.qut.edu.au/45548/

Publicador

Elsevier

Relação

DOI:10.1016/j.ymssp.2008.06.009

Heng, Soong, Zhang, Sheng, Tan, Andy, & Mathew, Joseph (2009) Rotating machinery prognostics. State of the art, challenges and opportunities. Mechanical Systems and Signal Processing, 23(3), pp. 724-739.

Fonte

Faculty of Built Environment and Engineering; School of Engineering Systems

Palavras-Chave #090500 CIVIL ENGINEERING #091300 MECHANICAL ENGINEERING #091302 Automation and Control Engineering #091399 Mechanical Engineering not elsewhere classified #091500 INTERDISCIPLINARY ENGINEERING #Condition-based Maintenance, Condition Monitoring, Prognostics, Reliability
Tipo

Journal Article