The 6 different types are: predetermined maintenance, preventive maintenance, corrective maintenance, condition-based maintenance, predictive maintenance and reactive maintenance. Preventive maintenance aims to detect and solve 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 advantage 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. Instead of being inspected according to a schedule, machines and systems are carefully observed for changes that may indicate 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 sensing devices. These devices are connected to system components and provide constant, real-time data to the software. The software then interprets this data and warns maintenance technicians of the proximity of a hazard. Predictive maintenance is generally considered to be the most advanced and intensive type of maintenance.
This is because there is a large amount of data to interpret, and the sensor devices themselves must be maintained and reviewed periodically. Corrective maintenance begins when a problem is discovered while working on another work order. With corrective maintenance, problems are detected “just in time”. For example, during a scheduled maintenance check or when solving another problem, a maintenance technician realizes that a pipe in a heating, ventilation and air conditioning system is not working as it should.
Corrective maintenance is then scheduled for a future date when the problem is repaired or replaced. Because corrective maintenance issues are detected “just in time”, emergency repairs are reduced and employee safety is increased. Unlike other styles, default maintenance is performed by rules and suggestions created by the original manufacturer, rather than by the maintenance team. These suggestions are based on experiments and collected data.
Relying solely on a predetermined schedule can cause system failures, as technicians may not be able to anticipate problems. It can also cause multi-family maintenance teams to replace parts too soon, resulting in additional costs. In addition, default maintenance does not guarantee that a system will not break down, since the program is based on statistics and not on the actual state of the computer. You can avoid that problem with ongoing property maintenance training offered by Interplay Learning’s online course catalogs.
Interplay’s digital training approach uses 3D and virtual reality (VR) -based technology to create hands-on lessons and simulations that technicians can practice from anywhere. Risk-based maintenance (RBM) consists of using a risk assessment methodology to allocate your scarce maintenance resources to the assets that carry the greatest risk in the event of a failure (remembering that the risk is three times greater than the probability x the consequence). Until recently, when people talked about predictive maintenance (PDM), it was essentially a synonym for condition-based maintenance. However, with the advent of artificial intelligence, the much lower costs of equipment sensors (IIoT) and machine learning, a clear difference is emerging between predictive maintenance (PDM) and condition-based maintenance (CBM), at least in my opinion.
Learn about the different types of maintenance, their advantages and disadvantages, and how each industry benefits from good maintenance practices. There are different types of maintenance jobs, each designed for specific scenarios. Knowing the differences between types of maintenance helps people determine which types are best suited for their purposes. This type of maintenance, also called preventive maintenance, is implemented on a fixed schedule and generally includes activities such as inspecting, cleaning, replacing and testing.
It is generally done during downtime between shifts or on weekends to avoid affecting productivity objectives. Routine maintenance has two objectives: to identify existing problems so that they can be corrected as soon as possible and to prevent potential problems from becoming a reality through constant attention. When routine maintenance is performed on a daily, weekly or monthly basis, planned maintenance can be scheduled once a year or as needed. This is because planned maintenance takes longer, is expensive and exhaustive, and often requires the services of a specialist.
In the context of maintaining an air conditioning unit, routine maintenance consists of removing and washing the filters once a month, while planned maintenance consists of hiring an HVAC professional to check refrigerant levels, possible leaks and measure air flow through the evaporator coil. If during the routine maintenance inspection of a car you discover signs of severe wear and tear, you should perform corrective maintenance. When the computer or pressure gauge readings on a machine show unusual and possibly dangerous anomalies, corrective maintenance is necessary. Corrective maintenance refers to the repairs and replacements needed to return an asset to full power and in optimal condition.
This type of maintenance focuses on the techniques used to determine the appropriate schedule for planned and corrective maintenance. Its main purpose is to predict, through a variety of test methods, when a machine will begin to suffer severe wear and tear, so that corrective maintenance can be scheduled without affecting productivity objectives and before the machine breaks down. Planned maintenance often requires that assets be completely shut down and remain inoperative for a specified period of time. The loss of productivity translates into financial losses and possible interruptions of operations if the necessary contingencies were not prepared in advance.
From the moment a company purchases an asset, it must have a maintenance plan ready for implementation. Routine maintenance techniques, such as regular cleaning and inspections, are often performed on a weekly, monthly, and sometimes even daily basis. Cleaning, monitoring and inspection can be done quickly and often at no cost, while still contributing to the overall health and longevity of an asset. To avoid disrupting services and productivity, maintenance activities are often scheduled on days off.
For businesses that operate 24 hours a day, planned maintenance of machine assets can be scheduled in sequence to ensure that productivity does not stop and that expected performance continues to be met. Thanks to special monitoring tools, companies can also practice predictive maintenance techniques; by using the data collected on the performance and condition of assets, they can obtain information on when possible wear and tear will require corrective maintenance to avoid unexpected machine breakdowns. This type of maintenance is performed by the technicians in charge of industrial maintenance before any failure or malfunction occurs. Refers to spare parts, components and machinery and equipment in order to reduce the risk of breakdowns.
The digitalization of industrial companies has provided many IT and technological solutions that allow technicians to effectively carry out, monitor, track and plan preventive maintenance. The emergence of data processing and analysis solutions, as well as artificial intelligence, has allowed manufacturers to plan predictive maintenance based on the prediction of faults and faults. This type of industrial maintenance allows companies to anticipate problems by planning the necessary maintenance interventions and operations based on forecasts. In this way, it allows you to limit the costs caused by unexpected breakdowns, equipment downtime and interruptions in production.
This type of preventive maintenance is distinguished by its frequency. Technicians carry it out periodically and systematically at well-defined intervals of time in advance. This allows components and spare parts to be replaced regularly, improving machine productivity. Therefore, systematic preventive maintenance is based on the periodic inspection of the different equipment, which allows maintenance technicians to gather the necessary information on the different components of the production line and effectively prevent breakdowns and repair costs.
Conditional preventive maintenance consists of monitoring the key parameters and indicators of the operation of the property and implementing the necessary corrective actions to anticipate any failure or malfunction. There are many emerging IT tools available to automate this type of industrial maintenance. Thus, technicians and maintenance workers can simplify and facilitate their work by opting for the digitalization of industrial maintenance processes. It is well known that billions of dollars are lost every year due to unscheduled downtime and poor asset quality.
In an endless battle to combat this statistic, organizations implement one of several types of maintenance, often combining two or more. The definitions of types of maintenance vary by industry, which can make it quite confusing to differentiate aspects such as preventive and predictive maintenance, among others. Let’s look at the most common types of maintenance used in manufacturing and process industries. For detailed information on the types of preventive maintenance, how to design a preventive maintenance program, preventive maintenance tools, and more, see the link at the beginning of this section.
While many organizations use both predictive and preventive maintenance (76 percent use preventive maintenance and 65 percent use predictive maintenance, according to a recent Reliable Plant survey), there are some key differences. In particular, preventive maintenance does not require the aspect of condition monitoring that predictive maintenance requires. This means that predictive maintenance uses condition-based technologies, such as infrared thermography, acoustic monitoring, vibration analysis and oil analysis. Another key difference is that preventive maintenance involves inspecting and maintaining assets regardless of whether the equipment needs maintenance (the maintenance program is based on a trigger).
When it comes to types of maintenance, techniques and costs, the main types of maintenance can be compared to the human body to get an idea of the equivalent body maintenance task. The following table uses an example of an energy generating asset and compares it with the human heart. Maintenance triggers can be configured and used with various types of maintenance. Fault triggers are used with reactive maintenance plans or that operate continuously until a fault occurs.
Predictive maintenance uses elements such as time-based triggers in the form of alerts to try to prevent a failure from occurring. Other triggers that will be discussed include triggers based on events, use and conditions. Just like a car changes oil every 5,000 miles, any machine that performs operations with time or quantity restrictions can be configured with a use-based trigger. The meter readings can be added to a CMMS and used to set up alerts when the desired quantity or value is reached.
Usage-based activators are a great way to keep equipment subject to irregular schedules and are generally used with predictive or preventive maintenance programs. Technological advances are more common in condition-based monitoring in the form of proactive and predictive maintenance. With this type of maintenance, technologies such as oil analysis, vibration analysis, thermography and motor current analysis can help determine the root causes and symptoms of faults, seek benefits such as extending machine life and early detection of faults, and reducing the number and impact of faults, and reducing the number and impact of faults. The current technological revolution in the manufacturing industry has reduced errors and defects, has optimized production and reduced labor costs.
Automated sensors that can continuously monitor machinery are among the biggest improvements. Not only can they be used in multiple types of maintenance, but they can also generate an enormous amount of data that can be analyzed and used to improve processes. Regardless of the type of maintenance strategies your equipment uses, different areas of a multi-family building must be regularly repaired to avoid costly repairs or extended periods of downtime. To limit this repair cost, manufacturers opt for so-called palliative corrective maintenance, which consists of repairing and solving the problem at a lower cost and more quickly.
In addition to financial losses due to lost productivity, repairs often cost more than normal maintenance, requiring companies to pay an enormous amount up front for new parts, installation and specialist services. .
