Predictive maintenance is generally considered to be the most advanced and intensive type of maintenance. This is because there is a lot of data to interpret, and the sensor devices themselves must be maintained and tested regularly. One of the main objectives of maintenance is to get the most value from your assets and equipment. You want to get the most out of your investment, so you need to take advantage of every drop of value.
With something like light bulbs, the only way to get as much value as possible is to keep going until they run out. For this reason, reactive maintenance is considered the least efficient type of maintenance. By its nature, it only happens once the equipment has stopped working according to specifications (and in most cases, it has stopped working completely). This type of maintenance creates additional inefficiencies, since it is not planned or planned and, therefore, can occur even at the most inconvenient times for installation.
Predictive maintenance requires a level of technology that standard preventive maintenance does not require, and it may also require employees who can accurately interpret condition monitoring data. Default maintenance is simply following the manufacturer's recommendations for maintenance, including when to perform inspections and maintenance. One of the main reasons predictive maintenance is so valuable is because it allows maintenance to be performed only when absolutely necessary, that is, just before an equipment failure occurs. Industries that regularly use emergency maintenance include chemical and manufacturing plants, tenant buildings, and housing communities, to name a few.
This project shows how predictive maintenance can eliminate unnecessary tasks and focus resources on improving asset life cycles, while adding value through better performance compared to a corrective maintenance approach. By monitoring an indication that a fault is occurring, maintenance can be performed when needed, saving unnecessary maintenance costs and, at the same time, preventing damage to an asset. Predictive maintenance refers to a specific type of condition-based maintenance in which systems are constantly observed through sensor devices. Reactive maintenance is commonly used to respond to a tenant's request to repair items in their units, and preventive maintenance is used to regularly inspect and replace filters on essential assets, such as an HVAC machine.
Unlike other styles, default maintenance is carried out using rules and suggestions created by the original manufacturer, and not by the maintenance team. It's best to follow a corrective maintenance plan when the shutdown and repair costs are offset by the cost of planned maintenance. To be successful in the field of building maintenance, it is useful to understand the different types of maintenance methods that exist and how and when they are used. For condition-based maintenance and predictive maintenance, for example, the sensors installed on your assets and equipment capture a constant stream of data that you can use to help determine when to schedule upcoming inspections and maintenance tasks.
When the cost of failing and repairing parts is lower than the costs of preventive or predictive maintenance, corrective maintenance is often the best solution. You may incur more personnel costs with preventive maintenance rather than relying on a corrective maintenance approach.