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    Predictive Maintenance

    Posted By: ELK1nG
    Predictive Maintenance

    Predictive Maintenance
    Published 4/2023
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 1.01 GB | Duration: 1h 19m

    A complete training course on Predictive Maintenance Techniques

    What you'll learn

    Learn what predictive maintenance is and its implications

    Learn Total plant management and Maintenance management through predictive program implementation

    Learn how predictive maintenance can boost product quality up

    Konwledge about the most important and diffused predictive maintenance technique

    Learn how to calculate costs and benefits of a predictive maintenance program

    Master vibration analysis, causes of vibrations, machines dynamics, mode shapes, resonance, critical speed, dynamics for the main type of mechanical components

    Learn how to develop a database to collect vibration data

    Learn the main instruments available to perform vibration analysis

    Learn Thermography analysis

    Learn Tribology techniques

    Learn Ultrasonics analysis

    Requirements

    Interest in industrial and maintenance engineering world!

    Basic knowledge of maintenance engineering

    Notepad, a pen and willing to learn!

    Description

    "Master in Predictive Maintenance" is the complete guide for you to learn about this great mainteance tool. The course covers all the management implications and the techniques that relates to predictive maintenance. As maintenance engineers you will be able to start implementing a solid predictive maintenance program defining schedules and cost and designing it in every aspect. As a maintenance technicians you will find a lot of useful notions and practical suggestions on how to perform predictive analysis. The course starts by defining predictive maintenance and its perimeter, and it explains how this maintenance tool can improve production and product quality. Then the course goes on giving a general overview of the main predictive maintenance techniques that will be deepened in detail further on. Notions will be given about vibration monitoring, Thermography, Tribology, Ultrasonics, electric motor analysis, process parameters analysis, Visual inspections and other techniques.At this point details about program costs and benefits are given. The core part of the course deals with the main predictive techinques in details. Vibration analysis it's explained starting from the definition of vibration and going through the different aspects that relate to the practice of measuring and monitoring vibration, including the causes that originate them. Dynamics of different mechanical components will be described. Another important topic that relates to vibration analysis, is the implementation of a data collecting system and a database. Information will be given on how to analyze data collected and how to set alert and alarm limits.Lessons go further, giving students a panorama of the existing instruments and installed systems to measure vibrations and the main trending techniques.After vibration analysis thermography, tribology and ultrasonics are deepened.

    Overview

    Section 1: PREDICTIVE MAINTENANCE DEFINITION AND IMPLICATIONS

    Lecture 1 Definition of predictive maintenance

    Lecture 2 Total plant and maintenance management

    Lecture 3 Production management and quality improvement

    Section 2: GENERAL OVERVIEW OF PREDICTIVE MAINTENANCE TECHNIQUES

    Lecture 4 Vibration monitoring

    Lecture 5 Thermography and tribology

    Lecture 6 Process parameters and visual inspection

    Lecture 7 Electric motor analysis

    Lecture 8 Ultrasonic monitoring and other techniques

    Section 3: PROGRAM COSTS AND BENEFITS

    Lecture 9 Program Costs

    Lecture 10 Benefits

    Section 4: VIBRATION MONITORING AND ANALYSIS

    Lecture 11 What is vibration

    Lecture 12 Causes and characteristics of vibration

    Students of industrial or mechanical engineering who want to learn about predictive maintenance,Process engineers or maintenance engineers who want to implement a predictive maintenance program in their organization,Maintenance personnel,Technicians,Anyone interested in maintenance engineering in general