Fault Diagnosis and Prognosis of Critical Components

Shock and Vibration
Special Issue on
Fault Diagnosis and Prognosis of Critical
Components
CALL FOR PAPERS
Some critical components, such as bearings, gearboxes, and impellers, are widely
used in machines. Their faults may accelerate the failures of other components
and finally result in machine breakdowns. To prevent any unexpected machine
breakdowns and accidents, early faults of critical components should be detected
as soon as possible. Once early faults of critical components are diagnosed, their
performance degradation assessment and remaining useful life estimation should be
conducted to maximize lifetime of critical components. This special issue focuses on
vibration based methods for fault diagnosis and prognosis of critical components.
Lead Guest Editor
Dong Wang, City University of Hong
Kong, Hong Kong
dongwang4-c@my.cityu.edu.hk
Guest Editors
Chuan Li, Universidad Politécnica
Salesiana, Cuenca, Ecuador
cli@ups.edu.ec
Potential topics include, but are not limited to:
Patten recognition methods for diagnosis and prognosis of critical
components
Digital signal processing methods for diagnosis and prognosis of critical
components
Statistical signal processing methods for diagnosis and prognosis of critical
components
Reliability and robustness Bayesian methods for diagnosis and prognosis of
critical components
Soft computing and related techniques, such as evolutionary computing,
fuzzy computing, probabilistic computing, and rough sets, and their new
applications to diagnosis and prognosis of critical components
Authors can submit their manuscripts via the Manuscript Tracking System at
http://mts.hindawi.com/submit/journals/sv/cfm/.
Achmad Widodo, University of
Diponegoro, Semarang, Indonesia
awid@undip.ac.id
Pavan Kumar Kankar, PDPM Indian
Institute of Information Technology,
Jabalpur, India
kankar@iiitdmj.ac.in
Wahyu Caesarendra, University of
Wollongong, Wollongong, Australia
wc026@uowmail.edu.au
Manuscript Due
Friday, 3 July 2015
First Round of Reviews
Friday, 25 September 2015
Publication Date
Friday, 20 November 2015