Fault Tree Analysis, Methods, and Applications ߝ A Review

Lee, W. S.; Grosh, Doris Lloyd; Tillman, Frank A.; Lie, Chang-Hoon

doi:10.1109/tr.1985.5222114

Cited by 574 publications

(255 citation statements)

References 65 publications

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“…Finally, FTA is a well-developed methodology for understanding how a system can fail [18], [19]. It has been applied in safety and reliability engineering, such as energy systems and nuclear plants [20]- [22].…”

Section: Fault Tree Analysis (Fta)mentioning

confidence: 99%

A Cloud-Based Decision Support System for Self-Healing in Distributed Automation Systems Using Fault Tree Analysis

Dai

Riliskis

Wang

et al. 2018

IEEE Trans. Ind. Inf.

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Abstract-Downtime is a key performance index for industrial automation systems. An industrial automation system achieves maximum productivity when its downtime is reduced to the minimum. One approach to minimize downtime is to predict system faults and recover from them automatically. A cloud-based decision support system is proposed for rapid problem identifications and to assist the self-management processes. By running multiple parallel simulations of control software with real-time inputs ahead of system time, faults could be detected and corrected automatically using autonomous industrial software agents. Fault trees, as well as control algorithms, are modeled using IEC 61499 function blocks that can be directly executed on both physical controllers and cloud services. A case study of water heating process is used to demonstrate the self-healing process supported by the cloud-based decision support system. Index Terms-Cloud-based decision support systems, distributed automation systems, faster-than-real-time simulation, fault tree analysis (FTA), IEC 61499 function blocks (FBs), programmable logic controllers, self-healing, supervisory control.

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Section: Fault Tree Analysis (Fta)mentioning

confidence: 99%

A Cloud-Based Decision Support System for Self-Healing in Distributed Automation Systems Using Fault Tree Analysis

Dai

Riliskis

Wang

et al. 2018

IEEE Trans. Ind. Inf.

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“…MCS has been extensively studied in the literature [27][28][29], and a system"s MCSs can be obtained by many tools such as RAM commander, CAFTA and BlockSim [30]. For the same SRS, FD and FS states may have different MCSs.…”

Section: The Distribution Of States Of Srs According To Ugfmentioning

confidence: 99%

“…To solve this problem, MCSs are used to distinguish the states of SRS. Thus, the computational cost mainly depends on the complexity of solving the MCSs of SRS, a problem that has been extensively studied in the literature [27][28][29]. Even in 1999, a system with 82 components, and as a result 12720 MCSs, can be solved within three minutes [32].…”

Section: Maintenance Policymentioning

confidence: 99%

Optimal replacement policy for safety-related multi-component multi-state systems

Chen

Yang

2012

Reliability Engineering & System Safety

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“…Systematic approaches to risk identification are broadly classified as bottomup-such as HAZOP (Bahr, 1997)-or top-down-such as Fault Tree Analysis (e.g., Lee, Grosh, Tillman, & Lie, 1985). Here we adopt a bottom-up approach, using Swain and Guttman's (1983) error modes to generate a preliminary taxonomy for the different activities of daily living (ADLs).…”

Section: A Preliminary Taxonomy Of Domestic Mishapsmentioning

confidence: 99%

Towards a practical framework for managing the risks of selecting technology to support independent living

et al. 2006

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Information and communication technology applications can help increase the independence and quality of life of older people, or people with disabilities who live in their own homes. A risk management framework is proposed to assist in selecting applications that match the needs and wishes of particular individuals. Risk comprises two components: the likelihood of the occurrence of harm and the consequences of that harm. In the home, the social and psychological harms are as important as the physical ones. The importance of the harm (e.g., injury) is conditioned by its consequences (e.g., distress, costly medical treatment). We identify six generic types of harm (including dependency, loneliness, fear and debt) and four generic consequences (including distress and loss of confidence in ability to live independently). The resultant client-centred framework offers a systematic basis for selecting and evaluating technology for independent living

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Fault Tree Analysis, Methods, and Applications ߝ A Review

Cited by 574 publications

References 65 publications

A Cloud-Based Decision Support System for Self-Healing in Distributed Automation Systems Using Fault Tree Analysis

A Cloud-Based Decision Support System for Self-Healing in Distributed Automation Systems Using Fault Tree Analysis

Optimal replacement policy for safety-related multi-component multi-state systems

Towards a practical framework for managing the risks of selecting technology to support independent living

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