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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ram-analysis-on-power-systems-using-monte-carlo-matlab/
课程评论：没有评论
课程名称：利用Monte Carlo和Matlab对电力系统进行RAM分析 课程概述： 本课程旨在探讨基于可靠性中心维护（RCM）的方法，特别是在电力系统中的应用。可靠性中心维护已经成为各个领域维护部门的一种常见做法，从石油田到电力系统，再到海军和航空工业。RCM提供了一种以成本效益为导向的维护政策，聚焦于系统不同的失效模式和其后果。 由于大多数系统故障的行为具有随机性，具备一种工具能够模拟这种随机行为数千甚至数百万次，从而获得统计趋势，是非常宝贵的。这有助于我们制定能够应对最可能失效模式及最具灾难性的故障的维护政策。 Monte Carlo方法是一个涵盖所有依赖随机系统多个模拟的研究的总称，旨在获取这些系统在多次试验中的最可能行为。讲师将在2016年本科论文《基于顺序Monte Carlo的电力系统操作背景下RAM分析》中探讨这个主题并获得荣誉的经验，倾注于本课程的每一个环节。讲师期待学员们的提问和反馈，以促进深入学习和讨论。
Reliability centered maintenance has become a common practice on maintenance departments over all kinds of fields, from pretoleum fields to power system, passing through naval and aeronautical industry. Reliability centered maintenance allows for a cost effective maintenance policy that is focused on a system's different modes of failure and consecuences.Most of the times, the failures of a system are fundamentaly random in their behaviour, thus, having a tool capable of simulating this random behaviour thousands or even millions of times in order to get a statistical trend is extemely valuable so that we can plan maintenance policies that tackle the most likely failing modes and the most catastrophic ones.Monte Carlo methods is an umbrella terms that covers all the studies that rely on many similations of random systems in order to get their most likely behaviour over the span of several tries. I had the opportunity to work this specific topic on my undergraduate thesis ''RAM analysis of electrical power system on the operational context using sequential Monte Carlo'' back in 2016 and got awarded with honors upon my disertation. I'll thrive myself to pour everything I learned into this course. I'm looking forward for your questions and feedback!
