Review of Machining Equipment Reliability Analysis Methods based on Condition Monitoring Technology

Dai, Wei; Sun, Jinping; Chi, Yongjiao; Lu, Zhiyuan; Dong, Xu; Jiang, Nan

doi:10.3390/app9142786

Cited by 16 publications

(8 citation statements)

References 74 publications

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“…Nevertheless, plenty of maintenance data is essential for reliable analysis and prediction (Cai et al. , 2021; Dai et al. , 2019; López-Campos et al.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Based on the probability analysis, the mean time between failure (MTBF) and mean time to failure (MTTF) are further explored for maintenance decisions. Nevertheless, plenty of maintenance data is essential for reliable analysis and prediction (Cai et al, 2021;Dai et al, 2019;L opez-Campos et al, 2018;Kales, 2006;O'Connor and Kleyner, 2012;Patrick and Kleyner, 2012;Takeshi, 2013).…”

Section: Literature Reviewmentioning

confidence: 99%

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Dynamic civil facility degradation prediction for rare defects under imperfect maintenance

Leu,

Fu,

2023

JQME

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PurposeThis paper aims to develop a dynamic civil facility degradation prediction model to forecast the reliability performance tendency and remaining useful life under imperfect maintenance based on the inspection records and the maintenance actions.Design/methodology/approachA real-time hidden Markov chain (HMM) model is proposed in this paper to predict the reliability performance tendency and remaining useful life under imperfect maintenance based on rare failure events. The model assumes a Poisson arrival pattern for facility failure events occurrence. HMM is further adopted to establish the transmission probabilities among stages. Finally, the simulation inference is conducted using Particle filter (PF) to estimate the most probable model parameters. Water seals at the spillway hydraulic gate in a Taiwan's reservoir are used to examine the appropriateness of the approach.FindingsThe results of defect probabilities tendency from the real-time HMM model are highly consistent with the real defect trend pattern of civil facilities. The proposed facility degradation prediction model can provide the maintenance division with early warning of potential failure to establish a proper proactive maintenance plan, even under the condition of rare defects.Originality/valueThis model is a new method of civil facility degradation prediction under imperfect maintenance, even with rare failure events. It overcomes several limitations of classical failure pattern prediction approaches and can reliably simulate the occurrence of rare defects under imperfect maintenance and the effect of inspection reliability caused by human error. Based on the degradation trend pattern prediction, effective maintenance management plans can be practically implemented to minimize the frequency of the occurrence and the consequence of civil facility failures.

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“…Nevertheless, plenty of maintenance data is essential for reliable analysis and prediction (Cai et al. , 2021; Dai et al. , 2019; López-Campos et al.…”

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Dynamic civil facility degradation prediction for rare defects under imperfect maintenance

Leu,

Fu,

2023

JQME

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“…There are a wide variety of reliability engineering tools that could be applied to estimate the reliability indices of the products or systems [23][24][25][26][27][28].…”

Section: The Reliability Estimation Of the Milling Teethmentioning

confidence: 99%

Comparative Reliability Analysis of Milling Teeth Manufactured by Conventional Cutting Processes and Laser Cladding

Iovanas

Dumitrascu

2022

Applied Sciences

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This paper presents the estimation of the main reliability indices of two milling teeth types. The comparative analysis referred to milling teeth manufactured by conventional cutting processes, made of 41Cr4 (type I), and milling teeth manufactured by high-productivity welding loading processes, namely, laser cladding (type II). To analyze the distributions of the lifetime data specific to milling teeth types, the correlation coefficient value was considered. Goodness-of-fit analysis indicated that normal distribution was adopted in order to conduct parametric estimates of the reliability indices. Point estimations of the parameters and estimations with 95% confidence intervals of the components’ lifetimes were performed, applying the least squares estimation method. Compared to the type II milling teeth, lower values of the reliability function were estimated for the type I milling teeth. The type II milling teeth displayed higher values for the statistical parameters, with a mean of 6 h, while the mean of the failure of the type I milling teeth was 5.2 h. In addition, a more pronounced hazard rate for the type I milling teeth compared to the type II milling teeth was observed.

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“…The optimal goal of any production plant is to increase the reliability of overall production process i.e., maximizing output using available resources through waste reduction in equipment reliability and process reliability [35][36][37][38]. Manufacturers must ensure system reliability as it is crucial for effective cost analysis, continued customer satisfaction, reducing warranty costs, improving business image and future opportunities, the company's image as well as maintaining competitive advantage.…”

Section: Relevance Of Effective Maintenance and Reliability In Operation Managementmentioning

confidence: 99%

Evaluation of Effective Maintenance and Reliability Operation Management – A Review

et al. 2021

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Manufacturing operations are often carried out with one major goal in mind: to develop products that satisfy increasing customer demand for reliable and high-quality goods. Achieving this target is often hindered by factors such as machine downtime caused by faults in the machinery or production process which leads to time and financial losses. Hence, it is important for operation managers to ensure measures are employed at every stage of production to effectively address these factors and enable unhindered production. Some commonly used strategies include timely maintenance of machines and facilities and reliability analysis of components and processes. This paper assesses the influence of effective maintenance and reliability practices for operations management.

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Review of Machining Equipment Reliability Analysis Methods based on Condition Monitoring Technology

Cited by 16 publications

References 74 publications

Dynamic civil facility degradation prediction for rare defects under imperfect maintenance

Dynamic civil facility degradation prediction for rare defects under imperfect maintenance

Comparative Reliability Analysis of Milling Teeth Manufactured by Conventional Cutting Processes and Laser Cladding

Evaluation of Effective Maintenance and Reliability Operation Management – A Review

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