Journal of Quality in Maintenance Engineering: Volume 23 Issue 3

Guest editorial

Aditya Parida, Ramin Karim, Adithya Thaduri

Dealing with missing data as it pertains of e-maintenance

Panagiotis Loukopoulos, George Zolkiewski, Ian Bennett, Pericles Pilidis, Fang Duan, David Mba

Centrifugal compressors are integral components in oil industry, thus effective maintenance is required. Condition-based maintenance and prognostics and health management…

Effective vibration-based condition monitoring (eVCM) of rotating machines

Akilu Yunusa-kaltungo, Jyoti K. Sinha

The purpose of this paper is mainly to highlight how a simplified and streamlined approach to the condition monitoring (CM) of industrial rotating machines through the application…

Simulation based study on improving the transient response quality of turbocharged diesel engines

Rakesh Mishra, Syed Mohammad Saad

Use of fossil fuels in automotive sector is one of the primary causes of greenhouse emissions. The automotive engines need to perform at their best efficiency point to limit these…

Maintenance analytics for railway infrastructure decision support

Stephen Mayowa Famurewa, Liangwei Zhang, Matthias Asplund

The purpose of this paper is to present a framework for maintenance analytics that is useful for the assessment of rail condition and for maintenance decision support. The…

Systematic risk-analysis to support a living maintenance programme for railway infrastructure

Peter Söderholm, Terje Nilsen

The purpose of this paper is to describe an application of an effective risk-based methodology to support a living maintenance programme for railway infrastructure.

Context preparation for predictive analytics – a case from manufacturing industry

Bernard Schmidt, Kanika Gandhi, Lihui Wang, Diego Galar

The purpose of this paper is to exemplify and discuss the context aspect for predictive analytics where in parallel condition monitoring (CM) measurements data and information…

Industrial internet applications for efficient road winter maintenance

Johan Odelius, Stephen Mayowa Famurewa, Lars Forslöf, Johan Casselgren, Heikki Konttaniemi

For the expected increase in the capacity of existing transportation systems and efficient energy utilisation, smart maintenance solutions that are supported by online and…