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Lisa Jackson
Lisa Jackson
Professor of Risk & Reliability, Loughborough University
Verified email at lboro.ac.uk
Title
Cited by
Cited by
Year
Automated guided vehicle mission reliability modelling using a combined fault tree and Petri net approach
R Yan, LM Jackson, SJ Dunnett
The International Journal of Advanced Manufacturing Technology 92, 1825-1837, 2017
752017
An ordering heuristic to develop the binary decision diagram based on structural importance
LM Bartlett, JD Andrews
Reliability Engineering & System Safety 72 (1), 31-38, 2001
722001
Failure mode and effect analysis, and fault tree analysis of polymer electrolyte membrane fuel cells
M Whiteley, S Dunnett, L Jackson
International Journal of Hydrogen Energy 41 (2), 1187-1202, 2016
712016
Chronic postoperative pain after total knee arthroplasty: the potential contributions of synovitis, pain sensitization and pain catastrophizing—an explorative study
T Kurien, RW Kerslake, T Graven‐Nielsen, L Arendt‐Nielsen, DP Auer, ...
European Journal of Pain 26 (9), 1979-1989, 2022
67*2022
Choosing a heuristic for the" fault tree to binary decision diagram" conversion, using neural networks
LM Bartlett, JD Andrews
IEEE Transactions on Reliability 51 (3), 344-349, 2002
662002
System fault diagnostics using fault tree analysis
EE Hurdle, LM Bartlett, JD Andrews
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2007
652007
Integrated system fault diagnostics utilising digraph and fault tree-based approaches
LM Bartlett, EE Hurdle, EM Kelly
Reliability Engineering & System Safety 94 (6), 1107-1115, 2009
642009
Investigation of polymer electrolyte membrane fuel cell internal behaviour during long term operation and its use in prognostics
L Mao, L Jackson, T Jackson
Journal of Power Sources 362, 39-49, 2017
632017
Predictive police patrolling to target hotspots and cover response demand
J Leigh, S Dunnett, L Jackson
Annals of Operations Research 283, 395-410, 2019
622019
Effectiveness of PEMFC historical state and operating mode in PEMFC prognosis
K He, C Zhang, Q He, Q Wu, L Jackson, L Mao
International Journal of Hydrogen Energy 45 (56), 32355-32366, 2020
602020
Novel methodology for optimising the design, operation and maintenance of a multi-AGV system
R Yan, SJ Dunnett, LM Jackson
Reliability Engineering & System Safety 178, 130-139, 2018
572018
Fault diagnostics of dynamic system operation using a fault tree based method
EE Hurdle, LM Bartlett, JD Andrews
Reliability Engineering & System Safety 94 (9), 1371-1380, 2009
542009
The potential of industry 4.0 Cyber Physical System to improve quality assurance: An automotive case study for wash monitoring of returnable transit items
AD Neal, RG Sharpe, K van Lopik, J Tribe, P Goodall, H Lugo, ...
CIRP Journal of Manufacturing Science and Technology 32, 461-475, 2021
522021
Investigation of PEMFC fault diagnosis with consideration of sensor reliability
L Mao, L Jackson, B Davies
international journal of hydrogen energy 43 (35), 16941-16948, 2018
512018
Long-term performance prediction of PEMFC based on LASSO-ESN
K He, L Mao, J Yu, W Huang, Q He, L Jackson
IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2021
482021
Fault diagnosis of practical polymer electrolyte membrane (PEM) fuel cell system with data‐driven approaches
L Mao, L Jackson, S Dunnett
Fuel Cells 17 (2), 247-258, 2017
442017
Effectiveness of a novel sensor selection algorithm in PEM fuel cell on-line diagnosis
L Mao, L Jackson, B Davies
IEEE Transactions on Industrial Electronics 65 (9), 7301-7310, 2018
432018
Efficient basic event orderings for binary decision diagrams
JD Andrews, LM Bartlett
Annual Reliability and Maintainability Symposium. 1998 Proceedings …, 1998
431998
Parameters and their impacts on the temperature distribution and thermal gradient of solid oxide fuel cell
E Guk, V Venkatesan, S Babar, L Jackson, JS Kim
Applied Energy 241, 164-173, 2019
412019
A novel method for polymer electrolyte membrane fuel cell fault diagnosis using 2D data
Z Liu, M Pei, Q He, Q Wu, L Jackson, L Mao
Journal of Power Sources 482, 228894, 2021
402021
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