Qualitative models of equipment units and their use in automatic HAZOP analysis

Bartolozzi, V.; Castiglione, Luca Maria; Picciotto, A.; Galluzzo, M.

doi:10.1016/s0951-8320(00)00042-9

Cited by 28 publications

(12 citation statements)

References 11 publications

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“…For a batch plant, the procedural phases must be considered as nodes, in addition to the equipment unit. Accordingly, the authors developed software support, based on their previous work, by adding models to accommodate phases of the operational procedure and the equipment units [127,128]. Furthermore, Cocchiara et al [129] integrated a method for analyzing single interlock systems, starting from the output of the plant's HAZOP analysis.…”

Section: Automating Hazop: Expert Systemsmentioning

confidence: 99%

Hazard and operability (HAZOP) analysis. A literature review

Dunjó

Fthenakis

Vı́lchez

et al. 2010

Journal of Hazardous Materials

353

142

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Section: Automating Hazop: Expert Systemsmentioning

confidence: 99%

Hazard and operability (HAZOP) analysis. A literature review

Dunjó

Fthenakis

Vı́lchez

et al. 2010

Journal of Hazardous Materials

353

142

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“…A mini fault tree applies to an equipment unit. Bartolozzi et al [23] apply this technique using two types of model: operation and equipment. Separate models are used to describe each phase an equipment unit passes through as it functions.…”

Section: Expert Systemsmentioning

confidence: 99%

An automated system for batch hazard and operability studies

Palmer

Chung

2009

Reliability Engineering & System Safety

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A widely used hazard identification technique within the process industry is HAZOP (hazard and operability study). To overcome the repetitive and time-consuming nature of the technique automated systems are being developed. This work considers batch processes, in which material undergoes processing in distinct stages within the plant equipment items according to a set of operating procedures, rather than each equipment item remaining in a "steady state", as is normal for continuous plants. In batch plants deviations which can lead to hazards can arise both from deviations from operating procedures and process variable deviations. Therefore, the effect of operator actions needs to be considered. CHECKOP is an automated batch HAZOP identification system being developed as a joint project between HAZID Technologies Ltd and Loughborough University. CHECKOP uses a state-based approach to HAZOP analysis. CHECKOP takes a plant description and a set of operating instructions as input and produces a HAZOP report automatically. The overall system architecture and the details of the major components of the systems will be described. Examples of incorrect plant operation along with the resulting output generated by CHECKOP will be shown. The advantages and limitations of CHECKOP will be discussed.

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“…Fortunately, there have been results for automated generation of them (for HAZOP, in [15] together with a concrete application in [14]). Another possible way is to use qualitative models in such an analysis (again, for HAZOP, see [6] with a batch process system application in [10]). An attempt to unite the two different diagnostic information stored in HAZOP and FMEA analysis results, called the blended HAZID methodology was described in [9] together with its use for process system diagnosis tasks.…”

Section: Introductionmentioning

confidence: 99%

A structural decomposition-based diagnosis method for dynamic process systems using HAZID information

Tóth

Werner-Stark

Hangos

2014

Journal of Loss Prevention in the Process Industries

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A novel diagnosis method is proposed in this paper that uses the results of the blended HAZID analysis extended to the dynamic case of process systems controlled by operational procedures. The algorithm is capable of finding fault root causes in process systems using nominal and observed possible faulty operational procedure execution traces. The algorithm uses the structural decomposition of the process system and its component-level dynamic HAZID (P-HAZID) tables and executes the diagnosis component-wise by first decomposing the observed execution traces, and then assembling the diagnosis results. The exact structure of the algorithm is also discussed, followed by two case studies on which its operation is demonstrated.

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Qualitative models of equipment units and their use in automatic HAZOP analysis

Cited by 28 publications

References 11 publications

Hazard and operability (HAZOP) analysis. A literature review

Hazard and operability (HAZOP) analysis. A literature review

An automated system for batch hazard and operability studies

A structural decomposition-based diagnosis method for dynamic process systems using HAZID information

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