Figure: time-based maintenance (TBM), predictive maintenance (PDM), fault detection maintenance (FFM), condition-based maintenance (CBM), risk-based maintenance (RBM). Here, use a schedule of inspections and tasks to find and fix small problems before they have a chance to turn into serious problems. Preventive maintenance is basically the idea behind the old saying that “an ounce of prevention is worth more than a pound of cure. One way to understand the benefits of preventive maintenance is to analyze all the problems that are avoided.
Default maintenance consists of simply following the manufacturer's recommendations for maintenance, including when to perform inspections and maintenance. For assets that don't fit any of these descriptions, it probably makes more sense to use preventive maintenance. As with many other strategies, you don't have to make a difficult choice between one or the other strict. When an asset is newer, you can use default maintenance.
Later on, when you've created a maintenance and repair history, you can start adjusting the schedule to better suit your specific situation. Choosing the right maintenance strategy starts with understanding your options, benefits and drawbacks. The tendency to fail usually has a bad reputation, but for a specific asset class and equipment, it is the best option. Use it when things are difficult or impossible to maintain, cheap to carry in inventory, easy to replace, or not essential to your operations.
Preventive maintenance helps you detect problems early by scheduling inspections and tasks. It also saves you money and frustration because you can plan everything in advance. For default maintenance, everything is basically the same as with preventive maintenance, except that you follow a schedule set by the manufacturer, not by your department. State-based and predictive using sensors and special software to collect and analyze data from sensors installed directly on or near your assets.
In the case of conditions, the software searches for readings outside the preset parameters. For predictive purposes, the software analyzes data to predict future failures long before they begin to develop. In the end, there is no single and perfect strategy for all time. You must choose the combination that best suits your assets, adjusting your approach as your assets age and your department collects data.
Property maintenance is best defined as any preventive or corrective maintenance action taken to keep a property fully operational and operating at its best. Predictive maintenance requires a level of technology that standard preventive maintenance does not require, and may also require employees who can accurately interpret condition monitoring data. Preventive maintenance is commonly used to maintain the assets of a facility, such as HVAC machines, and reactive maintenance is mainly used to maintain areas of a facility in good operating condition, such as painting walls. Industries that regularly use emergency maintenance include chemical and manufacturing plants, buildings for tenants and housing communities, to name a few.
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. 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. 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. .
