Risk-based inspection and maintenance systems for steam turbines

Fujiyama, Kazunari; Nagai, Satoshi; Akikuni, Yasunari; Fujiwara, Tooru; Furuya, Kenichiro; Matsumoto, Shigeru; Takagi, Kentarô; Kawabata, Taro

doi:10.1016/j.ijpvp.2004.07.005

Cited by 48 publications

(31 citation statements)

References 3 publications

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“…In various studies from the years 2003-2010 (e.g. [8,12,10,11,25,28,37]), examples of the application of RBM to various types of objects and their elements can be found. Currently (2011)(2012)(2013)(2014)(2015)(2016), examples of such studies include: [2,6,15,16,17,29,38].…”

Section: Risk Based Maintenancementioning

confidence: 99%

Optimisation of the technical object maintenance system taking account of risk analysis results

Gill¹

2017

EiN

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Section: Risk Based Maintenancementioning

confidence: 99%

Optimisation of the technical object maintenance system taking account of risk analysis results

Gill¹

2017

EiN

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“…The new probabilities of failure of the basic events were used to calculate the corresponding maintenance interval [3,7,73]. [3,7,12], event tree development [72] Consequence estimation Source models, impact intensity models, toxic gas models, explosions and fires models [3,12], expert opinion [73,74] …”

Section: Maintenance Planning Based On Riskmentioning

confidence: 99%

“…Based on literature published so for, the framework for riskbased maintenance is identified as qualitative [4,33,34,74,75], quantitative [3,7,12,72,73] and semi-quantitative [76]. Following Tixier et al [13], the studies were also classified based on the type of applications, input data and output data to get some meaningful insights in the risk-based maintenance scheme.…”

Section: Classification Of Risk-based Maintenance Techniquesmentioning

confidence: 99%

“…• Failure probability and databank including historical knowledge [3,7,12,72,73]. • Expert opinion [33,34,73,75,76].…”

Section: Types Of Input Datamentioning

confidence: 99%

“…The risk-based maintenance papers are classified into two classes based on output data and they are qualitative like recommendations [33,34,72,76] and quantitative like index of risk level [3,7,12,73,72].…”

Section: Types Of Output Datamentioning

confidence: 99%

See 2 more Smart Citations

Risk-based maintenance—Techniques and applications

Arunraj

Maiti

2007

Journal of Hazardous Materials

239

122

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A risk-based methodology to estimate shutdown interval considering system availability

2014

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This article presents a risk-based methodology to estimate shutdown inspection and maintenance interval considering system availability. Most inspection and maintenance activities are performed when the plant/unit is in the operational state. However, some inspection and maintenance activities require the plant to be in a nonoperational or shutdown state. In most cases, operating companies adopt a shutdown schedule based on the original equipment manufacturer's (OEM) suggested recommended periods. However, this may not be the best strategy as OEM recommended duration is general and may not reflect the current state of operation. The proposed methodology is unique in the sense that it identifies a shutdown interval by identifying the critical equipment in terms of risk considering availability and safety of the operating unit. It optimizes process plant shutdown interval to minimize the risk (in dollar terms). The Markov process is used to establish the state diagram to calculate system availability. The proposed methodology is comprised of three steps namely, risk-based equipment selection, shutdown availability modeling of a complex system using the Markov process, and risk-based shutdown inspection and maintenance interval modeling. It can be applied to process plants such as those for liquefied natural gas processing, petrochemicals, and refineries. The key elements for the success of the proposed methodology are the plant-specific data and identification of critical equipment.

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Risk-based inspection and maintenance systems for steam turbines

Cited by 48 publications

References 3 publications

Optimisation of the technical object maintenance system taking account of risk analysis results

Optimisation of the technical object maintenance system taking account of risk analysis results

Risk-based maintenance—Techniques and applications

A risk-based methodology to estimate shutdown interval considering system availability

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