Residual Lifetime Prediction for Multi-State System Using Control Charts to Monitor Affecting Noise Factor on Deterioration Process

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Gol Ahmadi Neda; RAISSI SADIGH

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Journal Paper

Paper Information

Journal: JOURNAL OF APPLIED RESEARCH ON INDUSTRIAL ENGINEERING Year:2018 | Volume:5 | Issue:1 Page(s): 27-38

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Information Journal Paper

Title

Residual Lifetime Prediction for Multi-State System Using Control Charts to Monitor Affecting Noise Factor on Deterioration Process

Author(s)

Gol Ahmadi Neda | RAISSI SADIGH | Issue Writer Certificate

Keywords

Mean residual lifetime

Multi-state system

Noise factor

System reliability

Control chart

Abstract

In this research, multi-state complex systems are analyzed in order to measure reliability and predict residual of systems’ lifetime under the effect of an out of control Noise factor. Hence, the analytic method helps us to estimate Multi-state system reliability, and then means residual lifetime that is calculated under normal conditions. Finally, the calculation is updated for out of control noisy condition using the accelerated method. To reveal the applied results, the proposed policy is implemented in a case study in a molding machine on SNJ Co. at Isfahan.

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APA: Copy

Gol Ahmadi, Neda, & RAISSI, SADIGH. (2018). Residual Lifetime Prediction for Multi-State System Using Control Charts to Monitor Affecting Noise Factor on Deterioration Process. JOURNAL OF APPLIED RESEARCH ON INDUSTRIAL ENGINEERING, 5(1), 27-38. SID. https://sid.ir/paper/354428/en

Vancouver: Copy

Gol Ahmadi Neda, RAISSI SADIGH. Residual Lifetime Prediction for Multi-State System Using Control Charts to Monitor Affecting Noise Factor on Deterioration Process. JOURNAL OF APPLIED RESEARCH ON INDUSTRIAL ENGINEERING[Internet]. 2018;5(1):27-38. Available from: https://sid.ir/paper/354428/en

IEEE: Copy

Neda Gol Ahmadi, and SADIGH RAISSI, “Residual Lifetime Prediction for Multi-State System Using Control Charts to Monitor Affecting Noise Factor on Deterioration Process,” JOURNAL OF APPLIED RESEARCH ON INDUSTRIAL ENGINEERING, vol. 5, no. 1, pp. 27–38, 2018, [Online]. Available: https://sid.ir/paper/354428/en

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