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Faisal Khan

Researcher at Memorial University of Newfoundland

Publications -  785
Citations -  28657

Faisal Khan is an academic researcher from Memorial University of Newfoundland. The author has contributed to research in topics: Risk assessment & Risk analysis. The author has an hindex of 70, co-authored 705 publications receiving 21281 citations. Previous affiliations of Faisal Khan include Royal Hobart Hospital & Australian Maritime College.

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Risk-based design of process systems using discrete-time Bayesian networks

TL;DR: A new general formalism has been developed to model two important elements of dynamic fault tree, i.e., cold spare gate and sequential enforcing gate, with any arbitrary probability distribution functions, and how dynamic techniques can effectively be applied for optimal allocation of safety systems to obtain maximum risk reduction is shown.
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The role of human error in risk analysis: Application to pre- and post-maintenance procedures of process facilities

TL;DR: The present study focuses on a human factors analysis in pre- and post- pump maintenance operations of an offshore process facility, aimed at highlighting the importance of considering human error in quantitative risk analyses.
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Risk-based maintenance of ethylene oxide production facilities.

TL;DR: This paper discusses a methodology for the design of an optimum inspection and maintenance program based on integrating a reliability approach and a risk assessment strategy to obtain an optimum maintenance schedule.
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Process system fault detection and diagnosis using a hybrid technique

TL;DR: A hybrid methodology to detect and diagnose the faults in dynamic processes based on principal component analysis with T2 statistics and a Bayesian network that can diagnose the root cause of the process fault precisely as well as identify the fault propagation pathway.
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Process simulation and life cycle analysis of biodiesel production

TL;DR: In this article, the environmental impacts of biodiesel production from non-edible Jatropha oil and waste cooking oil (WCO) were investigated and compared using systematic life cycle assessment.