Reliability analysis of repairable k-out-n system from time response under several times stochastic shocks

Fang, Yongfeng; Tao, Wenliang; Tee, Kong Fah

doi:10.12989/sss.2014.14.4.559

Cited by 25 publications

(13 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Pipelines are the safest and most economic means of transporting crude oil and gas, either onshore or offshore. However, similarly to other engineering systems, pipe failure is considered an integral part of their operating lifetime (Fang et al, 2014;Khemis et al, 2016;Zhang et al, 2016;Benammar and Tee, 2019). More than half of the operating energy pipelines globally have been in place for more than 45 years (Kiefner and Rosenfeld, 2012).…”

Section: Introductionmentioning

confidence: 99%

Competing risks survival analysis of ruptured gas pipelines: A nonparametric predictive approach

Tee

Pesinis

Coolen‐Maturi

2019

International Journal of Pressure Vessels and Piping

Self Cite

View full text Add to dashboard Cite

The full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that: • a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.

show abstract

Section: Introductionmentioning

confidence: 99%

Competing risks survival analysis of ruptured gas pipelines: A nonparametric predictive approach

Tee

Pesinis

Coolen‐Maturi

2019

International Journal of Pressure Vessels and Piping

Self Cite

View full text Add to dashboard Cite

show abstract

“…The main advantages of RSM are because it is not restrained by the number of random variables and it is also not limited by the form of the limit state function whether it is implicit or explicit (Ellingwood and Galambos 1982, Mahmoodian et al 2012, Jiang et al 2012, Fang et al 2014. In addition, the RSM is simple to perform with high accuracy (Bai et al 2014, Fang et al 2013, Su et al 2015.…”

Section: Introductionmentioning

confidence: 99%

Structural reliability analysis using response surface method with improved genetic algorithm

Fang¹,

Tee²

2017

Structural Engineering and Mechanics

Self Cite

View full text Add to dashboard Cite

Abstract. For the conventional computational methods for structural reliability analysis, the common limitations are long computational time, large number of iteration and low accuracy. Thus, a new novel method for structural reliability analysis has been proposed in this paper based on response surface method incorporated with an improved genetic algorithm. The genetic algorithm is first improved from the conventional genetic algorithm. Then, it is used to produce the response surface and the structural reliability is finally computed using the proposed method. The proposed method can be used to compute structural reliability easily whether the limit state function is explicit or implicit. It has been verified by two practical engineering cases that the algorithm is simple, robust, high accuracy and fast computation.

show abstract

“…Industries have welcomed the importance of risk-based tactics as an instrument for inspection planning and maintenance of components or assets carrying highest risk [1,13]. Well established, good practices and standards for the application of methodical risk analysis for systems inspection planning have been applied in bridges [6,7,14,15], plant integrity in petroleum industry [12], pipelines [16,17], mechanical systems [18,19], etc.…”

Section: Introductionmentioning

confidence: 99%

Risk-based inspection on highway assets with category 2 defects

Ekpiwhre¹,

Tee²,

Aghagba³

et al. 2016

Int. J. SAFE

View full text Add to dashboard Cite

This paper presents a study piloted on highway assets Category 2 defects. Imminent hazards on highway road networks are significantly accelerated by structural deterioration of highway infrastructures. The inspection and maintenance strategy for highway infrastructure requires continuous improvements to reduce high occurrence of defective highway assets. Combined risk-based inspection (RBI) and stochastic (STOC) techniques is considered in this investigation to give an in-depth understanding of highway asset maintenance response. Appropriate data information is extracted from Network Maintenance Management System and complementary information elicited from maintenance experts as well as recommended standards. Safety inspections piloted within the period of 5 years is evaluated using the projected RBI-STOC approach. The RBI incorporates the consequences and likelihood of the defects and the combined STOC techniques utilised defines the actual maintenance interval operated. The RBI-STOC approach proposes reclassification of highway asset defect repair intervals, appropriate maintenance task response and efficient maintenance prioritisation of highway assets in equivalence with contribution to system average mean time to repair and downtime.

show abstract

Reliability analysis of repairable k-out-n system from time response under several times stochastic shocks

Cited by 25 publications

References 14 publications

Competing risks survival analysis of ruptured gas pipelines: A nonparametric predictive approach

Competing risks survival analysis of ruptured gas pipelines: A nonparametric predictive approach

Structural reliability analysis using response surface method with improved genetic algorithm

Risk-based inspection on highway assets with category 2 defects

Contact Info

Product

Resources

About