Availability analysis of safety critical systems using advanced fault tree and stochastic Petri net formalisms

Taleb‐Berrouane, Mohammed; Khan, Faisal; Lounis, Zoubida

doi:10.1016/j.jlp.2016.09.007

Cited by 63 publications

(22 citation statements)

References 13 publications

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“…To further confirm this assertion, a combination of two very popular risk assessments tools (fault tree analysis and reliability block diagram) was used to investigate one of the most recent power transformer bushing failures. Fault tree (FTA) [15,53,54,[65][66][67][68][69][70][71] and reliability block diagrams (RBD) [53,54,[72][73][74][75] are very illustrative performance evaluation tools that have been immensely used for investigating critical plant failures across a variety of industries within the last five decades.…”

Section: Ae1: Maintenance Strategy and Planning Activitiesmentioning

confidence: 99%

“…Based on this premise and to foster practical knowledge transfer, a team-based FTA was employed at PLN. It is vital to note that besides visually representing the relationships between various causal factors of an FTA, it is also possible to estimate the probability of occurrence of the "unwanted" or "top event" using Equations (1) and (2) [53,54,[65][66][67][68][69][70][71]76];…”

Section: Ae1: Maintenance Strategy and Planning Activitiesmentioning

confidence: 99%

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A Holistic Framework for Supporting Maintenance and Asset Management Life Cycle Decisions for Power Systems

Ayu¹,

Yunusa‐Kaltungo

2020

Energies

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The outburst of population as well as increasing industrialisation have triggered a very prominent imbalance between electricity demand and supply in emerging economies such as Indonesia. Based on this premise, electricity generation and distribution firms such as Perusahaan Listrik Negara (PLN) are faced with an urgent need to enhance availability and reliability through capacity expansion as well as the institutionalisation of cost-effective maintenance and asset management (MAM) principles. Some of the principles recommended here involve embedding customised overall health index (OHI) and total life cycle cost (LCC) estimation principles into engineering decisions that relate to asset renewal and/or replacement. While discussions about the fundamental theories and estimation approaches for OHI and LCC for power transformers (PTs) already exist in the current body of literature, however, they are mostly in a generic form which has somewhat limited proper implementation of these valuable principles in practice. This study is unique because it provides a very systematic framework towards achieving cost-effective MAM through a case study. Additionally, the proposed framework is all-encompassing, as it also assesses the impacts of human unreliability through the application or proven risk assessment techniques. The proposed framework commences with the evaluation of existing decision support system at PLN through a MAM audit, whereby the performance of the West Java arm of PLN with regards to critical MAM elements was examined.

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Section: Ae1: Maintenance Strategy and Planning Activitiesmentioning

confidence: 99%

Section: Ae1: Maintenance Strategy and Planning Activitiesmentioning

confidence: 99%

A Holistic Framework for Supporting Maintenance and Asset Management Life Cycle Decisions for Power Systems

Ayu¹,

Yunusa‐Kaltungo

2020

Energies

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“…Talebberrouane et al [34] compare two techniques used for availability analysis of safety critical systems, which are GSPN and fault tree-driven Markov process (FTDMP). An emergency flare system including a knockout drum is used as case study for the comparison.…”

Section: Generalized Stochastic Petri Nets (Gspn)mentioning

confidence: 99%

Maintenance Strategy Optimization of a Coal-Fired Power Plant Cooling Tower through Generalized Stochastic Petri Nets

et al. 2019

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Determining the ideal size of maintenance staff is a daunting task, especially in the operation of large and complex mechanical systems such as thermal power plants. On the one hand, a significant investment in maintenance is necessary to maintain the availability of the system. On the other hand, it can significantly affect the profit of the plant. Several mathematical modeling techniques have been used in many different ways to predict and improve the availability and reliability of such systems. This work uses a modeling tool called generalized stochastic Petri net (GSPN) in a new way, aiming to determine the effect that the number of maintenance teams has on the availability and performance of a coal-fired power plant cooling tower. The results obtained through the model are confronted with a thermodynamic analysis of the cooling tower that shows the influence of this system’s performance on the efficiency of the power plant. Thus, it is possible to determine the optimal size of the repair team in order to maximize the plant’s performance with the least possible investment in maintenance personnel.

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“…GSPN provides other statistics. xiv [14] Correctness and completeness of environmental expectations related problems contributed many accidents. When modification occurred in product after release then the problem becomes exacerbated.…”

Section: Literature Reviewmentioning

confidence: 99%

Software Quality Assurance in Safety Critical Systems

Sirshar¹,

Alam²,

Ejaz³

et al. 2019

Preprint

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The complex systems that require safety are the Safety Critical Systems. Maintaining these systems is a big challenge. Now a days, safety is a very critical requirement for the latest systems. Safety critical systems must be safe. Different approaches to ensure quality and safety in safety critical systems has been discussed in this paper. A comparison is also conducted between these various approaches. Safety critical systems must remain more influential in future.

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Availability analysis of safety critical systems using advanced fault tree and stochastic Petri net formalisms

Cited by 63 publications

References 13 publications

A Holistic Framework for Supporting Maintenance and Asset Management Life Cycle Decisions for Power Systems

A Holistic Framework for Supporting Maintenance and Asset Management Life Cycle Decisions for Power Systems

Maintenance Strategy Optimization of a Coal-Fired Power Plant Cooling Tower through Generalized Stochastic Petri Nets

Software Quality Assurance in Safety Critical Systems

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