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所在平台: Udemy |
课程主页: https://www.udemy.com/course/design_of_smart_cms_for_rotary_machines/
课程评论：没有评论
课程名称：旋转机械智能状态监测系统设计 课程概述：智能状态监测系统（SCMS）是一种利用工业物联网（IIoT）传感器和基于人工智能的监测技术来检测机械设备（如泵、压缩机或齿轮箱）状态的系统。该系统可以在故障发生前可靠地检测潜在问题，从而帮助防止昂贵的设备停机，并实现预测性维护。 课程的学习优势： - 帮助学习者理解状态监测、预测性维护、人工智能和物联网在各种工业环境中的原理和应用。 - 提供来自多个传感器的实时数据和简易文本信息，便于分析、诊断和决策。 - 挑战学习者识别和解决机器异常操作条件，提升其问题解决能力和批判性思维。 - 增强学习者的安全意识和风险管理能力，展示如何通过SCMS防止昂贵的工厂停机和减少计划外维护。 课程亮点： - 学习最流行的预测性维护技术，掌握数据采集（DAQ）方法和复杂数据分析。 - 掌握时间同步平均（TSA）等数据预处理方法，建立能识别旋转关键部件健康状态的条件指标。 - 构建神经网络模型（分类学习器），用于训练条件指标以预测旋转机械的健康状态。 SCMS可以与现有设备和旋转机械网络整合，提供来自多个传感器的实时数据，以支持健康状态的分析、诊断和决策。 课程设计： - 适合初学者，提供数据采集、数据集成技术、条件指标和人工神经网络模型等领域的实践技能。 - 每节课配有大量实际案例，以便在课程结束后仍可继续练习。 - 每个部分结束后，学习者将获得详细的讲义和测验题目，以评估对该部分的理解，课程结束时还将完成项目，有助于就业。 通过本课程，学习者可以成为数据采集开发人员、数据分析师、机器学习工程师或数据预处理专家。
A Smart Condition Monitoring System (SCMS) is a system that uses IIoT sensors and AI-based monitoring to detect the condition of mechanical equipment, such as pumps, compressors or gearboxes. It can help to prevent expensive plant downtimes by reliably detecting imminent failures before they occur and enable predictive maintenance.Benefits of SCMS for Learners are:SCMS can help Learners understand the principles and applications of condition monitoring, predictive maintenance, artificial intelligence and Internet of Things in various industrial settings.SCMS can provide learners with real-time data and plain text information from multiple sensors that can be used for analysis, diagnosis and decision making.SCMS can enhance learners' problem-solving skills and critical thinking by challenging them to identify and resolve abnormal operating conditions of Machines.SCMS can improve learners' safety awareness and risk management by showing them how SCMS can prevent expensive plant downtimes and reduce unscheduled maintenance."Learn and Master the Most Popular Predictive Maintenance Technologies in this Comprehensive Course".Learn the Supervised Data Aquisition MethodologiesLearn the Complex Data Analytics in a simple way by using Data Ensemble Techniques.Learn the Data Preprocessing Methodologies by using Time Synchronous Averaging (TSA).Build the Condition Indicators which will be used for Identifying the Health Condition of Rotating Critical Parts of Machines.Build the Neural Networks Model (Classification Learner) which will be used to train on the Condition Indicators for Predicting the Health Condition of Rotating Machines.SCMS can be integrated with existing equipment and networks of Rotating Machines and can provide real-time data from multiple sensors for analysis, diagnosis and decision-making regarding Health Condition.Data Acquisition (DAQ) in Smart Condition Monitoring System (SCMS) is the process of capturing and recording sensor data from mechanical equipment, such as vibration, temperature, pressure, etc. DAQ is a crucial stage in SCMS because it provides the raw data for analysis and diagnosis of the equipment condition. Engineers and technicians who design, install, operate and maintain mechanical equipment, such as pumps, compressors, gearboxes, etc. The Learner can go as Data Acquisition Developer after learning Data Acquisition (DAQ) topic.Data Preprocessing in SCMS is the process of transforming raw sensor data into a format that can be understood and analyzed by machine learning algorithms. It is an essential step in data mining and data analysis as it improves the quality and accuracy of the data. Data analysts and data scientists who perform data mining and data analysis on sensor data to extract useful insights and patterns for condition monitoring. The Learner can go as Data Analyst, Machine Learning Engineer, Data Preprocessing Specialist.I have designed this technology course to be easily understood by absolute beginners. My course offers hands on skills in the domains of Data Aquisition, Data Ensemble Techniques, Condition Indicators, Artificial Neural Network Model.I Have Designed each Lecture with good number real time examples so that you can practice even after you complete the course.At the end of each section the learner will walk away with complete detailed lecture notes of that section and a set of questions in order to measure the learner understanding of that section and finally the learner will be given with project after completion of the course which will help in getting relevant job.
