2018 Predictive Maintenance Study

2018 Predictive Maintenance Study: 5 key findings

Respondents to the Plant Engineering 2018 Predictive Maintenance Study identified five important, high-level findings impacting the manufacturing industries today:

  1. Assets maintained with PdM: Predictive maintenance strategies or technologies are most commonly employed on electrical equipment, mechanical equipment, process equipment, and electrical utilities.
  2. Other maintenance strategies in use: In addition to predictive maintenance, 84% of facilities employ preventive maintenance strategies and 48% use run-to-failure practices.
  3. Predictive maintenance practices: The top predictive maintenance practices being used in manufacturing facilities are oil analysis, infrared thermal imaging, vibration testing, and motor testing.
  4. Conducting predictive maintenance: The majority of facilities conduct predictive maintenance practices with manual technician visual or predictive testing rounds using test instruments; 34% use a wireless condition-based monitoring strategy with sensors.
  5. Measuring return on investment: Maintenance costs, uptime, and risk reduction are among the top means of measuring return on investment of technology adoption.

Access the full 2018 Predictive Maintenance Report for additional findings.

The Plant Engineering 2018 Predictive Maintenance Study is sponsored by