Which of the following is a common sensory technique used in predictive maintenance?

Vibration analysis is a widely utilized sensory technique in predictive maintenance primarily because it allows for the early detection of mechanical faults in rotating equipment such as motors, pumps, and fans. This technique involves measuring the vibration emitted by equipment while it operates. As machinery experiences wear and tear, the vibration patterns can change, indicating potential issues like misalignment, imbalance, or bearing failures. By regularly monitoring these vibrations, maintenance teams can identify problems before they lead to equipment failure or unplanned downtime, thus enhancing reliability and efficiency in operations.

While the other techniques mentioned are also valuable in predictive maintenance—such as thermal imaging for excess heat detection, which helps identify overheating components and potential electrical issues, or visual inspections that can catch obvious signs of wear and damage—vibration analysis stands out due to its ability to provide quantifiable data on the dynamic behavior of machines, making it a critical tool for ensuring the health of rotating equipment. Acoustic monitoring can also be useful, but it typically plays a secondary role compared to the detailed insights that vibration analysis provides.