A reduction approach to improve the quantification of linked fault trees through binary decision diagrams

Ibáñez-Llano, Cristina; Rauzy, Antoine; Meléndez, E.; Nieto, Francisco Javier Sáez

doi:10.1016/j.ress.2010.06.008

“…It was known for its ease of implementation and simplicity in calculations (Akers, 1978). The practical application of this methodology is demonstrated by the studies conducted by Ibáñez-Llano et al (2010), Xing and Levitin, (2013), Zang et al (1999). In addition to Akers, (1978), Barlow and Wu, (1978) also define the system state function for coherent systems with multiple states.…”

Section: Previous Researchmentioning

confidence: 99%

Artificial Neural Network Model for Predicting Excavator Downtime

Brkić,

Mihajlović,

Perišić

et al. 2024

Proceedings of the 21st International Conference on Smart Business Technologies

0

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Previous research shows the significance of maintenance in enhancing performance levels and reducing system costs of equipment. This paper aims to develop a quantitative model for predicting the failure rate of excavators using artificial neural networks (ANN). As an input to the ANN, the duration times of 590 excavator downtimes measured over 198 days at the mining site in Serbia were used to obtain a classification of failures longer than an hour based on the previous 14 days, in aim to prevent potential indirect financial losses which could be over 15000€/hour. A Pareto analysis of the observed data was also performed and showed the technological type of downtime as the most frequent. The results show that the ANN modeling is suitable for mapping the non-linear relationship between excavation activities and the failure rates of excavators. The results showed that the proposed ANN model provides an accurate estimating tool for the early planning stage to predict failure rates of excavators. Future research avenue proposal is directed at monitoring and forecasting the exact duration of excavator downtime in real-time.

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“…It was known for its ease of implementation and simplicity in calculations (Akers, 1978). The practical application of this methodology is demonstrated by the studies conducted by Ibáñez-Llano et al (2010), Xing and Levitin, (2013), Zang et al (1999). In addition to Akers, (1978), Barlow and Wu, (1978) also define the system state function for coherent systems with multiple states.…”

Section: Previous Researchmentioning

confidence: 99%

Proceedings of the 21st International Conference on Smart Business Technologies

2024

0

View full text Add to dashboard Cite

Previous research shows the significance of maintenance in enhancing performance levels and reducing system costs of equipment. This paper aims to develop a quantitative model for predicting the failure rate of excavators using artificial neural networks (ANN). As an input to the ANN, the duration times of 590 excavator downtimes measured over 198 days at the mining site in Serbia were used to obtain a classification of failures longer than an hour based on the previous 14 days, in aim to prevent potential indirect financial losses which could be over 15000€/hour. A Pareto analysis of the observed data was also performed and showed the technological type of downtime as the most frequent. The results show that the ANN modeling is suitable for mapping the non-linear relationship between excavation activities and the failure rates of excavators. The results showed that the proposed ANN model provides an accurate estimating tool for the early planning stage to predict failure rates of excavators. Future research avenue proposal is directed at monitoring and forecasting the exact duration of excavator downtime in real-time.

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“…Binary decision diagram is a method proposed by Akers in the 1970s and developed in recent years based on fault tree analysis [10], for the advantages such as in low computational complexity and easy implementation, this methodology is popularly utilized in practical applications [11][12][13][14][15][16][17].…”

Section: Review Of Importance Measures For Binary and Multistate Systemsmentioning

confidence: 99%

Reliability Importance Measures considering Performance and Costs of Mechanical Hydraulic System for Hydraulic Excavators

Liu

¹

,

Zeng

²

,

Wan

³

et al. 2022

Journal of Sensors

2

0

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Although some reliability importance measures and maintenance policies for mechanical products exist in literature, they are rarely investigated with reference to weakest component identification in the design stage and preventive maintenance interval during the life cycle. This paper is mainly study reliability importance measures considering performance and costs (RIMPC) of maintenance and downtime of the mechanical hydraulic system (MHS) for hydraulic excavators (HE) with energy regeneration and recovery system (ERRS) and suggests the scheduled maintenance interval for key components and the system itself based on the reliability R i t . In the research, the required failure data for reliability analysis is collected from maintenance crews and users over three years of a certain type of hydraulic excavators. Minitab is used for probable distribution estimation of the mechanical hydraulic system failure times, and the model is verified to obey Weibull distribution. RIMPC is calculated by multiplying the reliability R i t and weighting factor W i and then compared with other classical importance measures. The purpose of this paper is to identify the weakest component for MHS in the design stage and to make appropriate maintenance strategies which help to maintain a high reliability level for MHS. The proposed method also provides the scientific maintenance suggestion for improving the MHS reliability of the HE reasonably, which is efficient, profitable, and organized.

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A reduction approach to improve the quantification of linked fault trees through binary decision diagrams

Cited by 18 publications

References 24 publications

Artificial Neural Network Model for Predicting Excavator Downtime

Artificial Neural Network Model for Predicting Excavator Downtime

Proceedings of the 21st International Conference on Smart Business Technologies

Reliability Importance Measures considering Performance and Costs of Mechanical Hydraulic System for Hydraulic Excavators

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