کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
524251 868581 2007 20 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Fault diagnosis for airplane engines using Bayesian networks and distributed particle swarm optimization
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Fault diagnosis for airplane engines using Bayesian networks and distributed particle swarm optimization
چکیده انگلیسی

This paper presents a fault diagnosis system for airplane engines using Bayesian networks (BN) and distributed particle swarm optimization (PSO). The PSO is inherently parallel, works for large domains and does not trap into local maxima. We implemented the algorithm on a computer cluster with 48 processors using message passing interface (MPI) in Linux. Our implementation has the advantages of being general, robust, and scalable. Unlike existing BN-based fault diagnosis methods, neither expert knowledge nor node ordering is necessary prior to the Bayesian Network discovery. The raw datasets obtained from airplane engines during actual flights are preprocessed using equal frequency binning histogram and used to generate Bayesian networks fault diagnosis for the engines. We studied the performance of the distributed PSO algorithm and generated a BN that can detect faults in the test data successfully.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Parallel Computing - Volume 33, Issue 2, March 2007, Pages 124–143
نویسندگان
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