F
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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Journal ArticleDOI
Three-Stage ISD Matrix (TIM) Tool to Review the Impact of Inherently Safer Design Implementation
TL;DR: In this article, a systematic screening procedure for reviewing inherently safer design alternatives using a combination of three-stage ISD matrix tool and guide word approach was presented to understand the trade-off of inherent safety toward the overall process.
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A Review of Human Error in Marine Engine Maintenance
TL;DR: This study reviews methods that are currently available for identifying, reporting and managing human error in marine engine maintenance and provides an overview of approaches for investigating human error, and a description of marine enginetenance activities and environmental and operational characteristics.
Journal ArticleDOI
What Do Gas Blows, Iron Dust Accumulations and Sulfidation Corrosion Have in Common?
Paul Amyotte,Faisal Khan +1 more
TL;DR: An analysis of three process incidents recently investigated by the CSB, chief among the similarities are the key process safety concepts of inherently safer design, recognition of warning signs (precursor events), and safety culture.
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A new method to study the performance of safety alarm system in process operations
TL;DR: The proposed method helps to describe alarm variables relationships better, enable alarm diagnostic to identify the root causes, and study the variables dependence strength and finally improve the alarm system performance.
Proceedings ArticleDOI
Assessing Evacuation Operation Performance in Harsh Environments
TL;DR: In this article, an event tree (ET) analysis is used to map all possible sequences of events leading to an accident and thus, reflect the level of knowledge about the evacuation operation.