| Predictive Maintenance Management Course Text - This text provides an overview of Predictive Maintenance Management (PdM). Descriptions of the 15 most commonly used predictive technologies form the heart of this text. Another 14 less commonly used technologies are described in less detail.
Other subjects covered include the place of PdM in the hierarchy of maintenance, its relationship to major advancements such as Reliability-Centered Maintenance, Total Productive Maintenance and Root Cause Failure Analysis.
Also described are elements of PdM philosophy, analysis methods, program implementation best practices, and means of integration into present day operations and maintenance.
Readers should already be familiar with application of one or more predictive technologies such as Vibration Analysis, Infrared Thermography, Lubricant and Wear Particle Analysis, Electric Motor Testing, and/or Ultrasonic Detection and Analysis.
The textbook provides information on the following subjects for supervisors, senior (lead) technicians and “champions” involved with or considering a predictive maintenance and condition monitoring program and its expansion and improvement:
- Predictive Maintenance Philosophy, Goals and Objectives
- Functions of a Predictive Maintenance and/or Condition Monitoring in the Overall Strategy and Processes of a Maintenance and Reliability Program
- Predictive Maintenance Program Alternatives and Cost Benefits
- Planning for Implementation, Expansion and Integration of a PdM Program
- Cost Justifying and Budgeting for a PdM Program
- Recruiting and Training Personnel for PdM Positions
- 15 Ways of Strengthening a PdM Program and Assuring Its Continuation
- Auditing Your Present PdM Program to Determine Gaps Needing Attention
- Commonly Used Predictive Analysis Methods
- Trend Analysis
- Pattern Recognition
- Tests Against Limits or Ranges
- Relative Comparison
- Statistical Process Analysis
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Correlation Analysis
It concludes with recommendations for strengthening many elements of any predictive maintenance or condition monitoring program, based on experience gained in over 100 audits conducted worldwide by the authors and their associates.
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For anyone in predictive maintenance 
