U.S. Department of Energy - Energy Efficiency and Renewable Energy
Federal Energy Management Program
Predictive Maintenance Technologies
Several diagnostic technologies and best practices are available to assist Federal agencies with predictive maintenance programs.
Chapter 6 of the FEMP O&M Best Practices Guide (PDF 721 KB) outlines these technologies in detail. The full guide is also available (PDF 3.3 MB). Download Adobe Reader.
Predictive maintenance technologies include:
Thermography: Infrared imaging is used to generate visual images that identify variations in the infrared radiance of object surfaces. This method can be used to detect system surface wear, leaks, or failures.
Lubricant and Wear Particle Analysis (a.k.a. Oil Analysis): Detailed analysis is taken to determine needed maintenance based on lubrication condition, lubrication system condition, and the machine condition itself.
Ultrasonic (Ultrasound) Analysis: Similar to thermography, this method uses sound waves to image internal systems to detect system wear, leaks, or failures.
Vibration Analysis: Vibrations are analyzed to determine system degeneration beyond permissible levels. Abnormal levels of vibration indicate excessive system wear and/or needed maintenance.
Motor Analysis: Several test measures are used to determine issues such as winding short circuits, open coils, improper torque settings, and many other mechanical problems within motors.
Performance Trending: System performance trends are recorded and monitored. Abnormal performance trends indicate issues and/or needed maintenance.