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所在平台: Udemy |
课程主页: https://www.udemy.com/course/practical-applications-of-reliability-engineering/
课程评论：没有评论
课程名称：可靠性工程的实际应用 概述：本课程旨在介绍可靠性工程领域，为学习者奠定基础，以便日后深入研究更高级的概念。尽管对可靠性原理具有丰富知识的技术专家可能会觉得内容较为基础，但可靠性常常与理解所需的复杂数学公式和理论相关。尽管数学复杂性可能会让技术专家犹豫，但在现有技术的支持下，即使没有完全理解数学基础，技术专家依然能够运用这些概念。笔者在复杂资产的运作和维护（O&M）阶段拥有可靠性工程的工作和领导经验，实践中我常遇到实施可靠性分析的障碍，主要有两个原因：第一，和哪些可靠性原理适用于O&M阶段以及如何有效实施缺乏清晰度；第二，数学背景不足，导致理解原理困难，从而实施乏力。因此，虽然可靠性作为提高预防性维护效果的重要来源常被渴望，但实施起来却常被认为过于复杂。本课程的目的是减少或消除这两大障碍。 本课程设计旨在介绍基本的可靠性概念和理论，而不涉及复杂的数学。课程材料包括多个预建公式的Excel电子表格，可应用于客户的数据。大多数课程作业旨在培养使用提供的电子表格回答可靠性问题的必要技能。完成课程后，学习者将能够立即将这些技能和材料应用于自己的数据集。 课程共分为六个部分：第一部分从产品或资产的角度解释什么是可靠性和性能；第二部分介绍可靠性分析及其三种主要工具；第三部分说明如何测量可靠性，并介绍用于分析的故障数据集；第四部分介绍故障分布的四个矩，并描述如何运用它们从故障数据中得出结论；第五部分解释离散（如二项式和泊松）及连续（如韦布尔、指数、正态与对数正态）分布，常用于可靠性分析；第六部分总结培训，描述产品生命周期内的可靠性考量。
This course serves as an introduction to the field of reliability engineering and lays the foundation for learners to delve into more advanced concepts if they desire to do so. While technical specialists with substantial knowledge of reliability principles might find the content elementary.Reliability is frequently associated with the complexity of the mathematical formulas and theories required to be understood to start using the reliability concepts at work. However, the complexity of the mathematics behind reliability engineering should not deter technical specialists from using these concepts through existing technology, even without a complete understanding of the mathematical foundations.I have experience working and leading reliability engineering in the operation and maintenance (O & M) stages of complex assets. In practice, I frequently encounter barriers to implementing reliability analysis for two common reasons. The first reason is that it is not clear how and which reliability principles apply to O & M stages and how to implement them effectively. The second reason is not enough mathematical background to understand the principles and, therefore, difficulties in their implementation. As such, the benefits of reliability as a source of improving the effectiveness of preventative maintenance are frequently desirable but considered too difficult to implement. This course was created with the purpose of reducing or eliminating these two barriers.This course is designed to introduce fundamental reliability concepts and theories without delving into complex mathematics. The course materials include several Excel spreadsheets with pre-built formulas for reliability analysis that can be applied to the customer's data.Most of the course assignments are designed to develop the skills necessary for addressing reliability questions using the provided spreadsheets. Upon completion of the course, learners will be equipped to immediately apply these skills and materials to their own datasets.The course contains 6 sections. The first section explains what reliability and performance are from the perspective of the product or asset. Section two introduces reliability analysis and three main tools of the analysis. Section three explains how to measure reliability and introduces failure datasets used for analyses in the next sections. Section four introduces four moments of the failure distribution and describes how they can be used to draw conclusions from failure data. Section five explains the discrete (Binomial and Poisson) and continuous (Weibull, Exponential, Normal and Lognormal) distributions that are frequently used for reliability analysis. Section six concludes the training by describing the reliability considerations for the products over their lifecycle.
