The Performance of High-power Station Based on Time Between Failures (TBF)

Alwan, Faris Mahdi; Baharum, Adam; Hasson, Saad Talib

doi:10.19026/rjaset.5.4477

Cited by 5 publications

(5 citation statements)

References 10 publications

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“…The fitting result of TBFs histogram with the Weibull distribution is shown in Figure 2 while Figure 3 shows the PDF function of Weibull distribution ( = 1.3137 and = 94.618). For a more detailed treatment of the fitting method, the readers are referred to Alwan et al [18].…”

Section: Methodsmentioning

confidence: 99%

“…The Weibull distribution is the best analysis for the data TBF under many distributions using the "EasyFit" software. For a more detailed treatment of the fitting method, the readers are referred to Alwan et al [18]. The maximum likelihood method is used to estimate the scale parameter ( ) and shape parameter ( ) in the Weibull distribution.…”

Section: System Reliabilitymentioning

confidence: 99%

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A Case Study of Reliability and Performance of the Electric Power Distribution Station Based on Time between Failures

Baharum

Alwan

Hasson

2013

Mathematical Problems in Engineering

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This paper presents an algorithm for estimating the performance of high-power station systems connected in series, parallel, and mixed series-parallel with collective factor failures caused by any part of the system equipment. Failures that occur frequently can induce a selective effect, which means that the failures generated from different equipment parts can cause failures in various subsets of the system elements. The objectives of this study are to increase the lifetime of the station and reduce sudden station failures. The case study data was collected from an electricity distribution company in Baghdad, Iraq. Data analysis was performed using the most valid distribution of the Weibull distribution with scale parameterα= 1.3137 and shape parameterβ= 94.618. Our analysis revealed that the reliability value decreased by 2.82% in 30 days. The highest critical value was obtained for components T1, CBF5, CBF7, CBF8, CBF9, and CBF10and must be changed by a new item as soon as possible. We believe that the results of this research can be used for the maintenance of power systems models and preventive maintenance models for power systems.

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Section: Methodsmentioning

confidence: 99%

Section: System Reliabilitymentioning

confidence: 99%

A Case Study of Reliability and Performance of the Electric Power Distribution Station Based on Time between Failures

Baharum

Alwan

Hasson

2013

Mathematical Problems in Engineering

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“…The AD goodness-of-fit test assumes the specific distribution of selected data and calculates its statistical values. The hypothesis 0 is rejected if statistical values are larger than the threshold value [17]. The A-D goodness-of-fit test is defined as…”

Section: Anderson-darling Goodness-of-fit Testmentioning

confidence: 99%

Reliability Analysis and Maintenance Optimization of Projection Spot Welding Machine in the Automotive Industry

Ulugbek¹

2018

IJPE

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This study analyzed the operational characteristics of the reliability and maintainability of the Projection Spot Welding (PSW) machine in the automotive industry. The components of the machine were grouped into three sub-systems: electrical, pneumatic, and hydraulic, and they were ordered into a hierarchical structural model for calculating reliability characteristics. The obtained maintenance lists and failure and repair data were studied and classified. Trend and serial correlation tests were carried out to select a proper modeling technique for each sub-system. Then, the reliability-maintainability model was constructed to estimate the failure behavior of the sub-systems, identify the best-fit distribution model, and calculate reliability characteristics. Finally, based on the calculated reliability characteristics, the preventive maintenance intervals for a different reliability level were calculated and requirements for increasing reliability were suggested. The analysis of the main structural sub-systems of the RSW machine showed that the hydraulic sub-system significantly affects the overall reliability level of the machine. However, the mean time to repair (MTTR) of the hydraulic sub-system is the lowest among other sub-systems. The analysis also found that the reliability of the electric and pneumatic sub-systems decreases by up to 50% after approximately 80h and 40h, respectively. The results of the study concluded that the reliability and maintainability analysis can improve the accuracy of preventive maintenance intervals and assess the reliability of each component of the RSW machine, which in turn can help reduce operating costs and extend the life of machine components.

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“…Alwan et al [34] provides a more detailed treatment of the fitting method. The maximum likelihood method is used to estimate the parameters , , of the Dagum distribution.…”

Section: Maximum Likelihood Estimationmentioning

confidence: 99%

Reliability Measurement for Mixed Mode Failures of 33/11 Kilovolt Electric Power Distribution Stations

2013

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The reliability of the electrical distribution system is a contemporary research field due to diverse applications of electricity in everyday life and diverse industries. However a few research papers exist in literature. This paper proposes a methodology for assessing the reliability of 33/11 Kilovolt high-power stations based on average time between failures. The objective of this paper is to find the optimal fit for the failure data via time between failures. We determine the parameter estimation for all components of the station. We also estimate the reliability value of each component and the reliability value of the system as a whole. The best fitting distribution for the time between failures is a three parameter Dagum distribution with a scale parameter and shape parameters and . Our analysis reveals that the reliability value decreased by 38.2% in each 30 days. We believe that the current paper is the first to address this issue and its analysis. Thus, the results obtained in this research reflect its originality. We also suggest the practicality of using these results for power systems for both the maintenance of power systems models and preventive maintenance models.

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The Performance of High-power Station Based on Time Between Failures (TBF)

Cited by 5 publications

References 10 publications

A Case Study of Reliability and Performance of the Electric Power Distribution Station Based on Time between Failures

A Case Study of Reliability and Performance of the Electric Power Distribution Station Based on Time between Failures

Reliability Analysis and Maintenance Optimization of Projection Spot Welding Machine in the Automotive Industry

Reliability Measurement for Mixed Mode Failures of 33/11 Kilovolt Electric Power Distribution Stations

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