Training Course Objectives
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An understanding of Machine Failure Analysis techniques
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An understanding of a range of Predictive Maintenance Technologies
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Knowledge of the potential contribution of each these technologies to maintenance efficiency
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Guidelines indicating how these technologies can interact with and support each other
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Hints and Tips for practical application of these technologies so as to achieve the best results
Training Course Content
Understanding Failures
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Machine Failure Analysis
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Wear and Tribology
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Fatigue Mechanisms
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Plain, Tilt-pad and Anti-friction Bearing and Seal Failures
Reliability Fundamentals and Methods for Avoiding Failures
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Fundamentals of Reliability of Machinery
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Reliability Determination and Assessment Methods
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Statistical Analysis of Machinery Failures
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Workshop and Case Study
Understanding Predictive Maintenance
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Predictive Maintenance Concepts
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Introduction
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Maintenance Strategies
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Predictive Maintenance – Background and History
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Predictive Maintenance Technologies – An Overview
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Potential Failure Analysis – Deciding which Technologies to Apply
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Vibration Analysis
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Introduction to Vibration Analysis
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Frequency Analysis and the Fast Fourier Transform
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Vibration Transducers
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Basic Failure Mechanisms with Examples
Using Predictive Maintenance
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Vibration Standards and Alarm Levels
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Vibration Diagnostics
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Amplitude Demodulation – a.k.a Enveloping, SSE, HFD, Peak-Vue
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Vibration on Rolling Element Bearings
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Resonance – Identification & Cure
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Other Predictive Maintenance Techniques
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Infrared Thermography
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Thermographic Applications
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Passive Ultrasonics - Contact and Non-contact
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Ultrasonic Applications
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Tribology – Oil Analysis
Control Mechanisms
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Managing Predictive Maintenance
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Performance and Efficiency Monitoring
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Managing the Predictive Maintenance effort
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Cost Analysis
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Reporting Techniques
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Integrating Predictive Maintenance into the Maintenance Plan
Targeted Audience
Dates and Venues
The training course is held every week and in all countries.
To register for this course, please fill out the form below. Email is mandatory.