Automated HAZOP

Venkatasubramanian, V.. and Vaidhyanathan, R., A knowledge-based framework for automating HAZOP analysis, AIChE J. 40(3), 496 (1994). 

The use of computers for HAZOP is quite common. In addition to automated HAZOP (discussed later), computerized recording is also available. The recording programs are basically special spreadsheets. This transition has resulted in thorough and quick recording of HAZOP studies. There are a number of features of use of computers for recording ... 

As discussed earlier, the time and cost for HAZOP analysis is quite large, especially for complex/large plants. Automation in HAZOP is capable of reducing both time and costs. Also it can provide a detailed and consistent report free from human error. Since much time and effort are saved, the team members can concentrate more on complex plant issues. Also it is possible to integrate various other technical programs, for example, computer aided design (CAD). There are a number of issues to be addressed before automating HAZOP. Some of these issues shall include ... 

S. Rahaman, E. Khan, B. Veitch, P.R. Amyotte, ExpHAZOP + Knowledge Based Expert System to Conduct Automated HAZOP for Oil Gas Operations, Dalhousie University. 

R. Srinivasan, V. Venkatasubramanian, Automating HAZOP analysis of batch chemical plants. Part II. Algorithm and application. Computers Chemical Engineering 22 (9) (1998). Elsevier. 

Uschold, M. and Gruninger, M., 1996, The Knowledge Engineering Review, 11(2). Zhao, C., 2002, Knowledge Engineering Framework For Automated HAZOP Analysis, Ph.D. Thesis. Purdue University. 

In this work, we describe an approach to integrate multivariate statistical process monitoring and online HAZOP analysis for abnormal event management of batch processes. The framework consists of three main parts process monitoring and fault detection, automated online HAZOP analysis module and a coordinator. Multiway PCA is used for batch process monitoring and fault detection. When abnormal event is detected, signal-to-symbol transformation technique based on variable contribution is used to transfer quantitative sensor readings to qualitative states. Online HAZOP analysis is based on PHASuite, an automated HAZOP analysis tool, to identify the potential causes, adverse consequences and potential operator options for the identified abnormal event. 

PHASuite—an integrated system for automated HAZOP analysis... 

Zhao C., 2002, Knowledge Engineering Framework for Automated HAZOP Analysis, PhD Thesis, Purdue University. 

Rahman, S. et al. 2009. ExpHazop Knowledge-based expert system to conduct automated HAZOP. Journal of Loss Prevention in the Process Industries— 22. pp 373-380. 

In this figure, the seleeted initial event can be selected from the design environment, or ean be extracted by applying automated HAZOP, which highlight list of top events that may eause hazard. In this case, product flow rate (F ) is low has been selected as the initial event. The result of the fault tree analysis as generated by CARA shows total of six cut sets up to order four. The results of the fault tree are fed back to HE Results database as associated with each plant physical object. The relationships among proeess variable, fault, component, and failure are used in the automation of generating the fault tree results. The minimum eut sets represents the different seenarios for the occurrence of the top event (output product flow rate is low). 

Srinivasan, R., Venkatasubramanian, V. Automating HAZOP analysis of batch chemical plants Part I. The Knowledge representation framework, Journal of Computers Chemical Engineering, Vol. 22, No. 9, pp 1345-1355, 1988. 

Cocchiara, M., Bartolozzi, V., Picciotto, A., Galluzzo, M. Integration of interlock system analysis with automated HAZOP analysis. Reliability Engineering and System Safety 74 (2001) 99-105. 

Jeerawongsuntom, C., Sainyamsatif N., Srinophakun, T. Integration of safety instrumented system with automated HAZOP analysis An application for continuous biodiesel production. Journal of Loss Prevention in the Process Industries 24 (2011) 412-4-19. 

Vaidhyanathan R. and Venkatasubramanian V., (1996) Dign h-based Models for Automated HAZOP Analysis , Computer Integrated Process Gyrations Consortium (CIPAC), School of Chemical Engineering, Pradue University, USA. 

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