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所在平台: Udemy |
课程主页: https://www.udemy.com/course/the-math-of-random-signals-fatigue-damage-vibration-tests/
课程评论：没有评论
课程名称：随机信号数学、疲劳损伤与振动测试 课程概述： 您准备好了解疲劳损伤及其在工程中应用的迷人世界吗？本课程将深入探讨疲劳损伤的数学，涵盖重要方程的推导以及理论在实际情况中的应用。 课程目标： 本课程旨在为对振动测试和可靠性工程感兴趣的人提供全面的学习体验。您将学习随机过程、概率分布及其在现实应用中的作用，了解单自由度系统、随机过程的峰值概率密度等内容。 讲师专业背景： 本课程的内容基于讲师的博士论文《基于振动的加速生命测试的高级任务合成算法》，该论文自2023年2月起公开。课程中还将展示讲师与公司合作开发的图形用户界面（GUI），让您看到方程如何生成振动信号。 课程结构： 课程将介绍疲劳寿命估计测试，旨在重复组件在其操作生命周期内经历的疲劳损伤，但时间更短。您将学习如何将这些测试定制为具体应用，并生成具有相同“损伤潜力”的信号。 课程收益： 通过参加本课程，您将获得直观易懂的高级数学概念，并持续强调其与现实应用的联系。您将学习如何将功率谱密度（PSD）与疲劳损伤关联，这对于测试中使用的信号创建至关重要。此外，您还将了解到非高斯信号，因为现实应用中测得的信号常常因存在峰值和脉冲而偏离高斯分布。 课程内容： - 疲劳损伤介绍 - 随机过程与概率分布 - 单自由度系统 - 随机过程的峰值概率密度 - 针对特定应用定制疲劳寿命估计测试 - 生成与环境条件相同“损伤潜力”的信号 - 将功率谱密度（PSD）与疲劳损伤建立联系 - 创建高斯和非高斯信号 课程交付： 本课程为在线学习，您可以随时在全球任何地方访问。您将获得教学视频和阅读材料（我的博士论文），以深化理解。 课程时长： 课程提供灵活的自学节奏，预计大约需要10-12小时完成（尽管时间更短，但您需要时间思考！）。 课程完成： 完成此课程后，您将获得结业证书，证明您在疲劳损伤及其在振动测试中的应用方面的知识和技能。 适合人群： 本课程适合任何想学习疲劳损伤及其在工程中应用的人，包括工程学生、专业人士及热爱数学及其应用的任何人。 今天就报名，开始探索疲劳损伤的迷人世界！
Ready to Learn About the Fascinating World of Fatigue Damage and Its Application in Engineering ?1: IntroductionAre you interested in learning about fatigue damage and its application in engineering? If so, enroll in this comprehensive course and delve deep into the mathematics of fatigue damage, from the derivation of essential equations to the application of the theory in real-life situations.2: Course ObjectivesThis course is designed for anyone interested in vibration tests and reliability engineering, as well as those who want to see the beauty of mathematics applied to engineering. You will learn about stochastic processes, probability distributions, and their role in real-life applications, as well as single-degree-of-freedom systems, the probability density of the maxima of a random process, and much more.3: Instructor ExpertiseThe concepts in this course are based on the instructor's PhD dissertation: "Advanced Mission Synthesis Algorithms for Vibration-based Accelerated Life-testing," which has been publicly available since February 2023 after a two-year "embargo", because the algorithms contained therein, could not be disclosed. You will also have access to Graphical User Interfaces (GUI) developed by the instructor in collaboration with companies interested in the PhD project to see how equations can be implemented to generate vibratory signals.4: Course StructureThis course will introduce you to fatigue-life estimation tests that aim to reproduce the entire fatigue damage experienced by the component during its operational life, but in a shorter amount of time. You will learn about how to tailor these tests to specific applications and generate signals that have the same "damage potential" as the environmental conditions to which the components are subjected.5: Benefits of the CourseBy enrolling in this course, you will gain advanced mathematical concepts that are intuitive to understand, and the connection to real-life applications will always be highlighted. You will learn how to relate a Power Spectral Density (PSD) to the fatigue damage, which is essential for creating signals to be used during tests. Additionally, you will learn about non-Gaussian signals, which are important since there are signals measured in real-life applications that show a deviation from the Gaussian distribution due to the presence of peaks and bursts in the signals.6: Course ContentThe course content includes:- Introduction to fatigue damage- Stochastic processes and probability distributions- Single-degree-of-freedom systems- Probability density of the maxima of a random process- Tailoring fatigue-life estimation tests to specific applications- Generating signals with the same "damage potential" as environmental conditions- Relating Power Spectral Density (PSD) to fatigue damage- Creating Gaussian and non-Gaussian signals7: Course DeliveryThis course is available online and can be accessed at any time, from anywhere in the world. You will have access to instructional videos, but also reading materials (my PhD dissertation), to deepen your understanding if necessary.8: Course DurationThe course duration is flexible and self-paced, allowing you to learn at your own pace. It is estimated that the course will take around 10-12 hours to complete ( even though it lasts less, but you need time to think!!!:) )9: Course CompletionUpon completion of this course, you will receive a certificate of completion, which can be used to demonstrate your knowledge and skills in the field of fatigue damage and its application in vibration testing.10: Who is this course for?This course is for anyone interested in learning about fatigue damage and its application in engineering, including engineering students, professionals, and anyone with a love for mathematics and its applications.Enroll today and start exploring the fascinating world of fatigue damage!
