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A semi-quantitative reasoning methodology for filtering and ranking HAZOP results in HAZOPExpert.

Authors
Vaidhyanathan-R; Venkatasubramanian-V
Source
Reliab Eng Syst Saf 1996 Aug; 53(2):185-203
NIOSHTIC No.
00241845
Abstract
A semiquantitative reasoning methodology for filtering and ranking the results of hazard and operability (HAZOP) analyses in an expert system for automated HAZOP (HAZOPExpert) analyses was discussed. The HAZOPExpert system was a qualitative analysis system that was developed to make HAZOP analyses less labor intensive and less expensive. HAZOPExpert has been shown to identify the same hazards, denoted as causes and consequences, found by a HAZOP analysis. HAZOPExpert, however, typically identifies a much larger number of causes and consequences than HAZOP due to the strict qualitative logic and decision approach that has been incorporated into the system. To reduce the number of causes and consequences found by a typical HAZOPExpert analysis, a semiquantitative filter and ranking approach has been developed. This involves incorporating information on the design and operating specifications of the process units and process materials into the analysis. The filtering and ranking approach was illustrated by applying it to an ethylene (74851) production facility for which a HAZOP and HAZOPExpert analysis had been performed. When applied to five process deviations such as temperature, pressure, and feed or waste flow anomalies, the HAZOPExpert system identified 21 causes and 50 consequences. The standard HAZOP analysis had identified 11 causes and 11 consequences. Filtering and ranking reduced the number of causes found by the HAZOPExpert analysis to 21 and the number of consequences to 24. The filtered and ranked causes and consequences still included those indicated by the conventional HAZOP analysis.
Keywords
NIOSH-Publication; NIOSH-Grant; Grants-other; Risk-analysis; Industrial-processes; Failure-analysis; Industrial-safety; Chemical-manufacturing-industry; Occupational-hazards; Industrial-design; Case-studies
Contact
Chemical Engineering Purdue University West Lafayette, IN 47907-1283
CODEN
RESSEP
CAS No.
74-85-1
Publication Date
19960801
Document Type
Journal Article
Funding Amount
525582.00
Funding Type
Grant
Fiscal Year
1996
NTIS Accession No.
NTIS Price
Identifying No.
Grant-Number-R01-OH-03056
Issue of Publication
2
ISSN
0951-8320
Priority Area
Other Occupational Concerns; Grants-other
Source Name
Reliability Engineering and System Safety
State
IN
Performing Organization
Purdue University West Lafayette, West Lafayette, Indiana
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