Reliability, Availability and Maintainability Analysis to Improve the Operational Performance of Soft Water Treatment and Supply Plant

Kumar, Ashish; Singh, Rajesh; Saini, Monika; Dahiya, Ombir

doi:10.25103/jestr.135.24

Cited by 8 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Patil and Kothavale 20 conducted FMEA analysis of CNC Turning Center. Kumar et al 21 performed Reliability, Availability, Maintainability, and Dependability (RAMD) analysis and FMEA analysis of soft water treatment and supply plant.…”

Section: Introductionmentioning

confidence: 99%

Reliability, Availability, Maintainability, and Dependability analysis of Tube-wells Integrated with Underground Pipelines in agricultural fields for irrigation

Kumar

Saini

Patil³

et al. 2022

Advances in Mechanical Engineering

Self Cite

View full text Add to dashboard Cite

Reliability, Availability, Maintainability, and Dependability (RAMD) study of Tube-wells Integrated with Underground Pipelines (TIUP) is crucial as they are the backbone of the irrigation system. This study is carried out with an objective to perform RAMD analysis, and Failure Modes and Effects Analysis (FMEA) unified with the development of a novel stochastic model using Markovian approach to estimate the Steady-State Availability (SSA) of the TIUP. A real case study of a conventional TIUP system has been performed to validate theoretical and practical results of the proposed model. The failure and repair rates of all subsystems followed exponential distribution, and their impact on system/subsystem’s availability and other reliability measures has been investigated. All the repairs are perfect and random variables associated with failure and repair rates are statistically independent. The centrifugal pump and power supply units are the most critical components as far as reliability and maintainability aspects. The labor also plays a critical role in the operation of the TIUP system.

show abstract

Section: Introductionmentioning

confidence: 99%

Reliability, Availability, Maintainability, and Dependability analysis of Tube-wells Integrated with Underground Pipelines in agricultural fields for irrigation

Kumar

Saini

Patil³

et al. 2022

Advances in Mechanical Engineering

Self Cite

View full text Add to dashboard Cite

show abstract

“…(2020) developed a mathematical model for drilling machines and applied simulation techniques to reliability evaluation. Kumar et al. (2020a, b) analyzed the reliability, availability and maintainability measures of soft water treatment plant and dragline.…”

Section: Introductionmentioning

confidence: 99%

“…Patil (2019) proposed an integrated reliability and maintainability assessment approach for CNCTC considering the effects of human and organizational factors. Kumar et al. (2020a, b) proposed operational performance improvement model for a soft water treatment and supply plant by basic concepts of reliability engineering.…”

Section: Introductionmentioning

confidence: 99%

Reliability and maintainability optimization of load haul dump machines using genetic algorithm and particle swarm optimization

Saini

Sinwar

Swarith

et al. 2022

JQME

Self Cite

View full text Add to dashboard Cite

PurposeReliability and maintainability estimation of any system depends on the identification of the best-fitted probability distribution of failure and repair rates. The parameters of the best-fitted probability distribution are also contributing significantly to reliability estimation. In this work, a case study of load haul dump (LHD) machines is illustrated that consider the optimization of failure and repair rate parameters using two well established metaheuristic approaches, namely, genetic algorithm (GA) and particle swarm optimization (PSO). This paper aims to analyze the aforementioned points.Design/methodology/approachThe data on time between failures (TBF) and time to repairs (TTR) are collected for a LHD machine. The descriptive statistical analysis of TBF & TTR data is performed, trend and serial correlation tested and using Anderson–Darling (AD) value best-fitted distributions are identified for repair and failure times of various subsystems. The traditional methods of estimation like maximum likelihood estimation, method of moments, least-square estimation method help only in finding the local solution. Here, for finding the global solution two well-known metaheuristic approaches are applied.FindingsThe reliability of the LHD machine after 60 days on the real data set is 28.55%, using GA on 250 generations is 17.64%, and using PSO on 100 generations and 100 iterations is 30.25%. The PSO technique gives the global best value of reliability.Practical implicationsThe present work will be very convenient for reliability engineers, researchers and maintenance managers to understand the failure and repair pattern of LHD machines. The same methodology can be applied in other process industries also.Originality/valueIn this case study, initially likelihood function of the best-fitted distribution is optimized by GA and PSO. Reliability and maintainability of LHD machines evaluated by the traditional approach, GA and PSO are compared. These results will be very helpful for maintenance engineers to plan new maintenance strategies for better functioning of LHD machines.

show abstract

Reliability measures of a cold standby system subject to refreshment

Kumar

Garg

Barak

2021

Int J Syst Assur Eng Manag

View full text Add to dashboard Cite

Reliability, Availability and Maintainability Analysis to Improve the Operational Performance of Soft Water Treatment and Supply Plant

Cited by 8 publications

References 0 publications

Reliability, Availability, Maintainability, and Dependability analysis of Tube-wells Integrated with Underground Pipelines in agricultural fields for irrigation

Reliability, Availability, Maintainability, and Dependability analysis of Tube-wells Integrated with Underground Pipelines in agricultural fields for irrigation

Reliability and maintainability optimization of load haul dump machines using genetic algorithm and particle swarm optimization

Reliability measures of a cold standby system subject to refreshment

Contact Info

Product

Resources

About