Predictive maintenance (PdM) aims to predict faults before they occur so that maintenance can be done at the right time. PdM uses machine sensor data and intelligent technology to alert maintenance staff when equipment is at risk of failure. For example, a sensor can use vibration analysis to alert maintenance staff that equipment is at risk of failure, at which point it will be disconnected, inspected, and repaired accordingly. Join more than 14,000 maintenance professionals who receive monthly tips on the CMMS, industry news and updates.
Here, you use a program of inspections and tasks to find and fix small problems before they have a chance to turn into big 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 strictly one or the other. When an asset is newer, you can use default maintenance. Later, 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, since 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. Depending on the conditions, the software searches for readings outside the preset parameters.
For prediction, the software analyzes the data to predict future failures long before they begin to develop. In the end, there is no 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. Preventive maintenance aims to detect and fix problems before they occur.
It is usually carried out in the form of periodic inspections, which are usually carried out several times a year. The main benefit of preventive maintenance is that it can eliminate unplanned downtime, since the ideal is to detect problems before they occur. Condition-based maintenance is sometimes considered a more advanced alternative to preventive maintenance. Rather than inspecting them on a schedule, machines and systems are carefully observed for changes that could indicate an imminent failure.
With condition-based maintenance, technicians observe the operation of the system and identify variables that could affect operation, such as temperature, vibration rate, power, the presence or absence of moisture, etc. Another strategy within condition-based maintenance is predictive maintenance. Predictive maintenance refers to a specific type of condition-based maintenance in which systems are constantly observed through sensor devices. These devices are connected to system components and send constant, real-time data to the software.
The software then interprets this data and warns maintenance technicians of the imminent danger. 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 verified regularly. Most organizations that operate this type of maintenance strategy use CMMS software to receive alerts about work orders when it is necessary to develop a preventive maintenance plan.
As with all types of maintenance, relying solely on preventive maintenance has potential drawbacks. There are many other types of maintenance that work well for all types of organizations, from small stores drowning in paperwork orders to data-based business operations, for which predictive maintenance is a reality. 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. The 6 different types are: predetermined maintenance, preventive maintenance, corrective maintenance, condition-based maintenance, predictive maintenance and reactive maintenance.
This type of maintenance analyzes all possible fault models for each piece of equipment and also creates a customized maintenance plan for each piece of equipment. This type of maintenance allows organizations to use intelligent maintenance software to collect data and, in addition, to integrate with interconnected devices to make processes more intelligent. . .
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