Introduction to Conditioning Monitoring

Introduction

The course provides skills that will allow attendees to understand the application and integration of basic predictive maintenance technologies. It is designed to teach the fundamental principles of the five predictive maintenance technologies most prevalent in the industry: vibration analysis, infrared thermography, airborne and structure-borne ultrasonic, oil analysis and motor circuit analysis. Upon completion of the course, attendees will have an understanding of the capabilities of the technologies along with the common traps that may be encountered during application.

Objectives

By the end of this course participants will learn:

• How to strike the right balance between PM and PdM
• How to evaluate your PM program and eliminate unnecessary work
• The principles of PdM and the reasons why it’s so powerful
• The business case and value proposition for PdM
• Where the resources will come from 3 different strategies to consider and the pros and cons of each
• How PdM reduces overtime and emergency work
• How PdM can increase the capacity of your plant without a dollar of capital investment
• How much PdM is enough and what you can learn from best practice organizations and benchmarks
• How to use LEAN tools to make your PdM program self-funding every step of the way and without increasing headcount
• How to recognize when you have achieved best practice
• How to convert to the proactive workflow model and the key advantages it offers vs. the traditional model
• Asset health and what it is and how to measure it
• The right way to use assessments to measure the effectiveness of your program
• How to identify mechanical, electrical, and stationary failure modes using PdM technologies
• How to identify the common traps of each technology
• How to build a comprehensive Asset Health Matrix
• Why PM is not enough and the surprising truth behind 80% of all equipment failures
• The common language of PdM and key terms and definitions you should know
• How to balance workflow maturity with coverage
• How to apply benchmark data and asset criticality to “design the coverage and model

Target Audience

Managers, engineers, planners, and supervisors who are responsible for the daily use of information that comes from a condition monitoring program

Reliability Engineering Outline

The course covers the following topics:

Benchmarking, business case and success stories

Striking the balance between PM and PdM

Defining the P-F curve, Weibull shapes, correlation models

Explain how to perform a Preventive Maintenance Evaluation

Define how to measure Asset Health

Quantifying Mechanical Asset Health

• Infrared Thermography, Oil Analysis
• Airborne and Structure-borne Ultrasonics
• Vibration Analysis, On-line Motor Circuit Analysis

Quantifying Electrical Asset Health

• Infrared Thermography, Oil Analysis
• Airborne and Structure-borne Ultrasonics
• Vibration Analysis, Off-line Motor Circuit Analysis

Quantifying Stationary Asset Health

• Infrared Thermography, Airborne, and Structure-borne Ultrasonics
• Pulse-Echo Ultrasound, Magnetic Particle Testing, Penetrant Testing
• Visual Inspection, Radiographic Testing, Eddy Current Testing

Identifying and Mapping the Proactive and Reactive Maintenance Workflow Model