A Bayesian Inference Reliability Evaluation on the Corrosion-Affected Underground High-Voltage Power Grid


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Type
Article
Change log
Authors
Li, F 
Le Blanc, M 
Pan, J 
Abstract

jats:p The underground high-voltage power transmission cables are high value engineering assets that suffer from multiple deteriorations through-out life cycles. Recent studies identified a new failure mode – the pitting corrosion deterioration on the layer of phosphor bronze reinforcing tape, which protects the oil-filled power transmission cables from oil leakage due to deterioration of the leads heath. Two models estimating the phosphor bronze tape life were established separately in this study. The first model, based on mathematical fitting, is generated using a replacement priority model from the power supply industry. This is considered as an empirical-based model. The second model, based on the corrosion fatigue mechanism, utilizes the information of the pit depth distribution and the concept of pit-to-crack transfer probability. The Bayesian inference approach is the conjunction algorithm to update the existing probability of failure (PoF) model with the newly identified failure modes. Through this algorithm, the integrated PoF model contains a more comprehensive background information while maintaining the empirical knowledge on the engineering assets’ performance. </jats:p>

Description
Keywords
49 Mathematical Sciences, 4905 Statistics
Journal Title
International Journal of Reliability, Quality and Safety Engineering
Conference Name
Journal ISSN
0218-5393
1793-6446
Volume Title
Publisher
World Scientific Pub Co Pte Ltd
Rights
All rights reserved