Every maintenance team aspires to keep their machines and equipment running at maximum efficiency and with minimum unplanned downtime. However, achieving this requires the best type of maintenance that your operations can always provide consistently.
In today’s modern maintenance processes, there are various techniques and equipment that has become more automated and convenient.
In line with this, here’s a quick comparison of the three (3) most commonly used maintenance practices in machines and equipment today:
Preventive maintenance is done through regularly scheduled upkeep for machines and equipment to help reduce failure and maximize its effectivity. It is important to understand that preventive maintenance intervals are typically based on recommendations from equipment manufacturers rather than on specific data related to each machine. Of all the three processes, preventive maintenance is proven to be more cost effective as it saves energy by keeping equipment running efficiently.
Predictive maintenance, on the other hand, is designed to address potential equipment problems before they cause a breakdown. Rather than performing maintenance tasks based on time intervals, this process uses data gathered from the equipment to determine when and what to perform maintenance on. It applies algorithms to that data to find trends in key indicators, such as temperature, vibration, electrical, pressure, and other measurable factors that can indicate when a failure is likely to happen.
Much of the data used in these calculations are collected in real time with infrared technology while the equipment is running. This helps create a more accurate and comprehensive picture of both individual assets and the health of the operation.
By collecting baseline data, tracking trends, and analyzing findings after fault indications are found, a proactive maintenance strategy helps organizations perform maintenance only when necessary, based on gathered information. It can also help make predictive and preventive maintenance programs work more efficiently to avoid the root causes of machine failure, address problems before they arise, and extend machine life.
However, the biggest challenge in establishing a proactive maintenance program is determining when to directly apply your maintenance resources. Analyzing the data from both healthy and faulty equipment can help you determine when a piece of equipment may fail. But, because most organizations have limited maintenance resources, the next challenge is to decide which failures pose the biggest risk to your operation.
Successful maintenance would need high-quality testing equipment that can help your personnel determine their course of action. Moreover, Predictive and Proactive maintenance, which rely on real-time data requires excellent testing equipment to conduct these maintenances successfully.
With Fluke, you can expect to have the best and industry-trusted equipment to provide accurate results on your maintenance operations.
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