Reliability Modelling for the Scheduling of Plant Work in Majority Vote Mode

Barry, D.M.; Hudson, Michael

doi:10.1108/eb002861

Cited by 3 publications

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An alternative solution to fuel feeding system failure using FMEA, Taguchi method and cause-and-effect diagram is provided in Mariajayaprakash and Senthilvelan (2013). Based on plant maintenance records, to plan the maintenance schedule of the fuel feeding system, a probabilistic feedback scheme is suggested (Barry and Hudson, 1986).…”

Section: Literature Surveymentioning

confidence: 99%

Reliability analysis of a steam boiler system by expert judgment method and best-fit failure model method: a new approach

Patil¹,

Bewoor

2020

IJQRM

View full text Add to dashboard Cite

PurposeIndia's textile industries play a vital role in the Indian economy. These industries consume the highest thermal energy (steam power). The demand of the steam in process industries is increasing rapidly, and this demand can be met by increasing the capacity utilization of steam boilers. The purpose of this paper is to present a new approach for reliability analysis by expert judgment method.Design/methodology/approachA lack of adequate life data is one of the biggest challenge in the reliability analysis of mechanical systems. This research provides an expert judgment approach for assessing the boiler's reliability characteristics. For this purpose, opinions of experts on time to failure and time to repair data were elicited in the form of statistical distributions. In this work, reliability analysis of the boiler system is carried out by expert judgment method and by using best-fit failure model. The system reliability along with preventive maintenance intervals of all components is also evaluated.FindingsIt is observed that the reliability analysis results obtained by expert judgment method and best-fit failure model method indicate that there are no significant differences. Therefore, in case when insufficient data are available, the expert judgment method can be effectively used. The analysis shows that the feedwater tank, feedwater pump, supply water temperature sensor, strainer, return water temperature sensor, condensate filter, mechanical dust collector, coal crusher and fusible plug are identified as critical components from a reliability perspective, and preventive maintenance strategy is suggested for these components.Originality/valueIn this research paper, a system reliability model by the expert judgment method is developed, and it can be effectively used where insufficient failure data are available. This paper is useful for the comparative evaluation of reliability characteristics of a boiler system by expert judgment method and best-fit failure model method.

show abstract

Section: Literature Surveymentioning

confidence: 99%

Reliability analysis of a steam boiler system by expert judgment method and best-fit failure model method: a new approach

Patil¹,

Bewoor

2020

IJQRM

View full text Add to dashboard Cite

show abstract

Development of Reliability Block Diagram (RBD) Model for Reliability Analysis of a Steam Boiler System

Patil¹,

Bewoor²,

Kumar

et al. 2022

Springer Series in Reliability Engineering

View full text Add to dashboard Cite

Availability Analysis of a Steam Boiler in Textile Process Industries Using Failure and Repair Data: A Case Study

Patil

Bewoor²,

Patil

2021

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering

View full text Add to dashboard Cite

The demand of steam in process industries is increasing rapidly, and this demand can be met by increasing the capacity utilization of steam boilers. Many of the process industries depend on industrial steam boilers as a vital component for their operation. The availability of the boiler can be improved by identifying critical mechanical sub-systems/components concerning failure frequency, reliability, and maintainability and minimizing their likelihood of occurrences. The selection of appropriate technique for data collection and reliability analysis is essential. The time between failure (TBF) and time to repair (TTR) of all components and sub-systems were collected to carry out Reliability, Availability and Maintainability (RAM) analysis. The best-fit distribution and distribution parameters were calculated using ReliaSoft software Weibull++10 after performing trend testing. The preventive maintenance intervals of all components and sub-systems and the availability of the system were evaluated. The analysis reveals that the combustion system, feed-water system, and blow-down system are the critical sub-systems from a reliability perspective and are still the biggest reasons for the boiler downtime. The research study also showed that TTR was longer for the combustion system than the other sub-systems, and thus, to enhance its availability, it is suggested that maintenance resources should be allocated at the appropriate moment to the combustion system. The study also shows the usage of RAM analysis in deciding the preventive maintenance intervals of components/sub-systems of the boiler. It also provides a reference for the preparation of the maintenance plan for the boiler system.

show abstract

Reliability Modelling for the Scheduling of Plant Work in Majority Vote Mode

Cited by 3 publications

References 1 publication

Reliability analysis of a steam boiler system by expert judgment method and best-fit failure model method: a new approach

Reliability analysis of a steam boiler system by expert judgment method and best-fit failure model method: a new approach

Development of Reliability Block Diagram (RBD) Model for Reliability Analysis of a Steam Boiler System

Availability Analysis of a Steam Boiler in Textile Process Industries Using Failure and Repair Data: A Case Study

Contact Info

Product

Resources

About