Preventive & Predictive Maintenance Flashcards

What is the primary goal of preventive maintenance?

Answer: Reduce equipment downtime through scheduled service

The primary goal of preventive maintenance is to proactively maintain equipment to avoid unexpected breakdowns. By conducting scheduled inspections, servicing, and minor repairs, it aims to reduce costly downtime, extend asset life, and ensure continuous operation, rather than waiting for failure.

Which tool is commonly used in predictive maintenance?

Answer: Vibration analyzer

Predictive maintenance utilizes specialized tools and techniques to monitor equipment condition and predict potential failures. A vibration analyzer is a common tool used to detect abnormal vibrations in rotating machinery, indicating wear or misalignment that could lead to future breakdown.

What is a benefit of predictive maintenance over reactive maintenance?

Answer: Improved equipment reliability

Predictive maintenance continuously monitors equipment health, allowing for repairs to be scheduled precisely when needed, before a failure occurs. This proactive approach significantly improves equipment reliability by preventing unexpected breakdowns, reducing downtime, and optimizing maintenance efforts compared to reactive methods.

Which is an example of a preventive maintenance task?

Answer: Lubricating bearings regularly

Lubricating bearings regularly is a classic example of a preventive maintenance task. It involves scheduled application of lubricant to reduce friction and wear, preventing premature failure of mechanical components and extending the lifespan of machinery, rather than waiting for a breakdown.

What is typically tracked in a preventive maintenance schedule?

Answer: Maintenance tasks and intervals

A preventive maintenance schedule systematically outlines all planned maintenance activities. It specifies which tasks need to be performed on particular equipment, how often (the intervals), and often who is responsible, ensuring that critical upkeep is consistently carried out.

Why is data collection important in predictive maintenance?

Answer: To anticipate failures before they occur

Data collection is fundamental to predictive maintenance, as it provides the raw information needed to assess equipment health. By continuously monitoring parameters like vibration, temperature, or pressure, data allows for the analysis of trends and anomalies, enabling maintenance teams to predict potential failures and schedule interventions proactively.