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所在平台: Udemy |
课程主页: https://www.udemy.com/course/reliability-engineering-statistics/
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课程名称: 可靠性工程统计（2025） 课程概述: 欢迎参加制造学院的可靠性工程统计（2025）课程，这是推动您在可靠性领域职业发展的必修课程！可靠性指的是产品、系统或过程在规定时间内无故障地执行其预期功能的能力。可靠性工程专注于分析和管理影响产品性能的因素，确保系统按预期运行，并将故障风险降至最低。随着工业对质量和性能的日益重视，可靠性工程师的需求不断增长，这些专业人士在产品设计中发挥着关键作用，确保产品耐用且在时间上表现一致。此外，他们通过数据驱动的洞察力推动流程优化，提高效率并减少变异。 您将学到的内容: 本课程基于美国质量学会（ASQ）2024年认证可靠性工程师（CRE）考试的知识体系，涵盖了领先的可靠性工程师用于做出明智决策和提升产品及流程可靠性的基础统计工具和方法。主要覆盖以下8个领域： 1. 基本统计学：总体、参数、样本与统计量，中心极限定理以及统计值的估计和解释方法。 2. 概率概念：独立性、互斥事件、条件概率，以及概率树和期望频率树等概率工具。 3. 概率分布和函数：如二项分布、泊松分布、指数分布、韦布尔分布、正态分布等的统计分布，以及如何分析可靠性数据。 4. 抽样计划：确定适当样本大小的理论、表格和公式。 5. 假设检验：t和Z分布的假设检验，误差类型，配对比较检验，F检验等。 6. 非参数统计：Mann-Whitney检验、Kruskal-Wallis检验等，处理截尾数据和Kaplan-Meier检验。 7. 统计过程控制（SPC）：控制图，能力研究，Cp、Cpk、Pp和Ppk。 8. 置信区间和容差区间：评估使用置信区间和容差区间用于可靠性分析的效果。 无论您是希望进入可靠性工程职业、准备ASQ认证可靠性工程师考试，还是想在产品设计和工程领域扩展知识，我们的课程都提供了您所需的内容！ 适合人群: - 可靠性工程师：完善统计技能。 - 质量工程师和经理：理解可靠性统计以支持产品质量。 - 制造和过程工程师：寻找提高操作效率和产品可靠性的工具。 - 产品设计师和开发工程师：学习如何将可靠性融入设计阶段。 - 数据分析师和工程师：应用数据分析技能于可靠性工程领域。 您将收获的内容：9小时以上的视频讲解（超过120节课），针对ASQ CRE考试的重大课程更新，55份可下载资源，包括Excel模板和实用图表，课程末尾和各节后的练习，详细的术语表，终身访问所有课程材料以及结业证书。 制造学院的优势: 在线学习灵活，课程内容引人入胜，专家授课，促进与其他质量和制造领域专业人士的学习交流。 不要错过这个在设计、工程和制造竞争领域中脱颖而出的机会！今天就注册，迈出实现职业目标的第一步！
Welcome to the Manufacturing Academy's Reliability Engineering Statistics (2025) … the one course you need to propel your career in reliability forward!Reliability is the ability of a product, system, or process to perform its intended function without failure over a specified period of time. Reliability engineering focuses on the analysis and management of factors that affect product performance, ensuring systems function as intended and minimizing the risk of failures.As industries increasingly prioritize quality and performance, the demand for reliability engineers has grown. These professionals play a critical role in product design by ensuring that products are durable and perform consistently over time. They are also key drivers of process optimization, using data-driven insights to enhance efficiency and reduce variability.What You'll Learn:Based on the American Society of Quality's (ASQ) Body of Knowledge for the Certified Reliability Engineer (CRE) exam, 2024 edition, this course steps through the foundational statistical tools and methods used by leading reliability engineers to make informed decisions and improve product and process reliability.Comprehensive coverage of the following 8 major areas of Reliability Engineering Statistics including:Basic statistics: Population, parameter, sample, and statistic, the central limit theorem, methods to estimate and interpret statistical values.Probability concepts: Independence, mutually exclusive events, conditional probability, probability tools such as probability trees and expected frequency trees.Probability distributions and functions: Statistical distributions such as binomial, Poisson, exponential, Weibull, normal, log-normal, chi-square, and Student's t distribution, and how to use them to analyze reliability data. How to interpret probability plots for each continuous distribution. Goodness of fit to a distribution. The family of probability functions including PDF, CDF, reliability, and hazard functions and how they interrelate.Sampling plans: Theories, tables, and formulas to determine appropriate sample sizes.Hypothesis Testing: Hypothesis testing with t and Z distributions, error types, paired comparison tests, F tests, testing for proportions, and more.Nonparametric Statistics: Mann-Whitney test, Kruskal-Wallis test, Mood's Median test, Wicoxon Signed Rank test, dealing with censored data, and Kaplan-Meier test.Statistical process control (SPC): Control charting, capability studies, Cp, Cpk, Pp, and Ppk.Confidence and Tolerance intervals: Confidence intervals, tolerance intervals, Assessing the use of confidence and tolerance intervals for reliability analysis using Weibull, normal, and lognormal distributions.So whether you're working your way into a career in reliability engineering, studying for the ASQ Certified Reliability Engineer (CRE) exam, or simply aiming to expand your knowledge base in product design and engineering, our Reliability Engineering Statistics (2025) course has what you need!Who Should Enroll:Reliability Engineers: If you're already working in reliability engineering and want to refine your statistical skills, this course will help you deepen your expertise in analyzing and optimizing system performance.Quality Engineers and Managers: Professionals focused on ensuring product quality will benefit from understanding how reliability statistics can support long-term quality and minimize defects in products and processes.Manufacturing and Process Engineers: Those involved in process optimization and system design will find valuable tools for improving operational efficiency and product reliability.Product Designers and Development Engineers: Engineers working on product development will gain insights into how to incorporate reliability into the design phase to enhance product longevity and reduce the likelihood of failure.Data Analysts and Engineers: If you have a background in data analysis and want to apply your skills to the realm of reliability engineering, this course will introduce you to specialized statistical techniques used in the field.Whether you're just starting out or are seeking to expand your skillset, this course will provide practical, data-driven methods for enhancing reliability across a wide range of industries.What You Get:9+ hours of rich video-based instruction (OVER 120 lectures!!)A MAJOR COURSE UPDATE to the American Society for Quality's (ASQ's) 2024 edition of the Certified Reliability Engineer (CRE) exam,55 downloadable resources including Excel templates, "cheat sheets", and an assortment of useful diagrams and tables.LOTS OF Practice Exercises at the end of each section and an exam at the end covering reliability engineering statistics concepts and terms.A Glossary of Terminology with detailed definitions covering not only the major ideas of engineering statistics, but also key ideas from the broader field of reliability.LIFETIME ACCESS to all course materials AND all other materials we may add later.A Certificate of Completion with your name, the course's name, and the time duration of the course (useful for fulfilling the need of some CEU requirements)Q & A access through the Udemy platform to a 30+ year manufacturing, quality, engineering, and business professionals.Why Choose the Manufacturing Academy?Flexible online learning format, accessible anytime, anywhere right here on the Udemy platform.Engaging, interactive course content designed for optimal comprehension.Just the right depth of instruction utilizing Bloom's Taxonomy to help assure the success of professionals ready to understand the quality principles and approaches and the technician level.Expert instruction from an industry veteran passionate about your success.Shared learning environment with fellow professionals in the quality and manufacturing fields.What did other students say about Reliability Engineering Statistics?"I love how all different concepts are combined into a single course with wonderful examples and how each concept differs from the other" - N. Dubey"I can't really think of a better and practical short course regarding Reliability Statistics than this, thank you very much for the content" - A. Dutta"Well documented, well presented and generously resourced." - P. Dzitac"This is a course I have been yearning for! I am so excited to go through this course and come out strong to ace my CRE Exam next year. Much thanks." - O. MartinsDon't miss this opportunity to distinguish yourself in the competitive worlds of design, engineering, and manufacturing. Enroll today and take the first step toward achieving your professional goals!ASQ® is the registered trademark of the American Society for Quality.The Manufacturing Academy is an independent training provider that is neither associated nor affiliated with the ASQ or any other certifying organization.
