International Journal of Rotating Machinery

Fault Diagnosis and Prognosis of Rotating Machinery

Publishing date
28 Apr 2017
Submission deadline
09 Dec 2016

Lead Editor

1PDPM Indian Institute of Information Technology, Jabalpur, India

2Universiteit van Pretoria, Pretoria, South Africa

3City University of Hong Kong, Kowloon Tong, Hong Kong

4University of Cincinnati, Cincinnati, USA

Fault Diagnosis and Prognosis of Rotating Machinery


A variety of rotating machines are associated with almost everyone’s life. It includes small handheld devices to large industrial applications such as sewing machine, fan, motor cycle, car, commercial vehicles, railways, steel industries, power plants, sugar industries, turbines, and space shuttles. A rotating machine comprises several machine elements. The healthy operation of rotating machine is closely allied with the functioning of other linked machine elements. Therefore, diagnosing the fault at the early stage and performing prognosis accordingly are always of prime importance.

The objectives of this special issue are to explore the most recent methodologies of analysis and provide deep insight into the fault diagnosis and prognosis to the upcoming generation. This special issue invites the original research articles, having significant contribution in modelling, experiments, and their combination. Review articles related to fault diagnosis and prognosis are also encouraged.

Potential topics include, but are not limited to:

  • Health monitoring
  • Fault diagnosis and detection
  • Reliability and uncertainty
  • Nonlinear analysis
  • Physics of failure
  • Prognostics and health management
  • Remaining useful life prediction and life assessment
  • Development of faults and their effects with maturity
  • Developments of defects and their correlation with diagnosis and prognosis
  • New designs and developments
  • Applications of various techniques such as vibration, sound, and current signature
  • Wear modeling and analysis
  • Tribological analysis
International Journal of Rotating Machinery
 Journal metrics
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Acceptance rate13%
Submission to final decision86 days
Acceptance to publication16 days
Journal Citation Indicator0.290
Impact Factor0.9
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