Andrew G Starr
Andrew G Starr
Professor of Maintenance Systems, Cranfield University
Verified email at - Homepage
Cited by
Cited by
A review of data fusion models and architectures: towards engineering guidelines
J Esteban, A Starr, R Willetts, P Hannah, P Bryanston-Cross
Neural Computing & Applications 14 (4), 273-281, 2005
An intelligent maintenance system for continuous cost-based prioritisation of maintenance activities
WJ Moore, AG Starr
Computers in industry 57 (6), 595-606, 2006
Suitability of MEMS accelerometers for condition monitoring: An experimental study
A Albarbar, S Mekid, A Starr, R Pietruszkiewicz
Sensors 8 (2), 784-799, 2008
Performance evaluation of MEMS accelerometers
A Albarbar, A Badri, JK Sinha, A Starr
Measurement 42 (5), 790-795, 2009
Acoustic monitoring of engine fuel injection based on adaptive filtering techniques
A Albarbar, F Gu, AD Ball, A Starr
Applied Acoustics 71 (12), 1132-1141, 2010
Evaluation of overall equipment effectiveness based on market
F Anvari, R Edwards, A Starr
Journal of Quality in Maintenance Engineering, 2010
Operational fault diagnosis of manufacturing systems
W Hu, AG Starr, AYT Leung
Journal of Materials Processing Technology 133 (1-2), 108-117, 2003
A structured approach to the selection of condition based maintenance
AG Starr
IET Digital Library, 1997
Two diagnostic models for PLC controlled flexible manufacturing systems
W Hu, AG Starr, AYT Leung
International Journal of Machine Tools and Manufacture 39 (12), 1979-1991, 1999
A systematic approach to integrated fault diagnosis of flexible manufacturing systems
W Hu, AG Starr, Z Zhou, AYT Leung
International Journal of Machine Tools and Manufacture 40 (11), 1587-1602, 2000
Maintenance today and future trends
A Starr, B Al-Najjar, K Holmberg, E Jantunen, J Bellew, A Albarbar
E-maintenance, 5-37, 2010
A knowledge-based real-time diagnostic system for PLC controlled manufacturing systems
W Hu, M Schroeder, AG Starr
IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on …, 1999
A review of key planning and scheduling in the rail industry in Europe and UK
C Turner, A Tiwari, A Starr, K Blacktop
Proceedings of the Institution of Mechanical Engineers, Part F: Journal of …, 2016
Internal combustion engine lubricating oil condition monitoring based on vibro-acoustic measurements
A Albarbar, F Gu, A Ball, A Starr
Insight-Non-Destructive Testing and Condition Monitoring 49 (12), 715-718, 2007
Wear debris: basic features and machine health diagnostics
MA Khan, AG Starr
Insight-Non-Destructive Testing and Condition Monitoring 48 (8), 470-476, 2006
E-Maintenance update: the road to success for modern industry
C Emmanouilidis, E Jantunen, E Gilabert, A Arnaiz, A Starr
Proceedings of the 24th international congress on condition monitoring and …, 2011
Australian energy update 2015
A Ball, S Ahmad, C McCluskey, P Pham, O Pittman, A Starr, ...
Australia Government Department of Industry and Science: Canberra, ACT, 2015
An intelligent integrated system scheme for machine tool diagnostics
W Hu, A Starr, Z Zhou, A Leung
The International Journal of Advanced Manufacturing Technology 18 (11), 836-841, 2001
An autonomous system for maintenance scheduling data-rich complex infrastructure: Fusing the railways’ condition, planning and cost
I Durazo-Cardenas, A Starr, CJ Turner, A Tiwari, L Kirkwood, ...
Transportation Research Part C: Emerging Technologies 89, 234-253, 2018
Precise vehicle location as a fundamental parameter for intelligent self-aware rail-track maintenance systems
I Durazo-Cardenas, A Starr, A Tsourdos, M Bevilacqua, J Morineau
Procedia CIRP 22, 219-224, 2014
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