Definition
Preventive Maintenance refers to regular servicing and inspections of equipment according to a Maintenance Schedule to reduce failure rates. It complements Predictive Maintenance and can be combined with CMMS and EAM to manage work orders and resources.
Types of Plans and Execution
Preventive maintenance can be triggered based on time (such as monthly or quarterly) or operating hours (such as after 1000 hours of operation). The planned content may include inspection items, maintenance tasks, replacement parts, testing items, etc. The Device Management Platform manages cycles and task templates through Maintenance Schedule; executes OTA, configuration changes, etc., within the Maintenance Window; automatically generates Work Order and dispatches it to CMMS or EAM, tracking execution and closure. Combined with Device Grouping, it allows batch scheduling for devices of the same type.
Integration with DMP
The platform provides functions such as maintenance plan configuration, automatic work order creation, execution reminders, and completion feedback. Device data (such as operating hours, last maintenance time) can drive plan triggers; Remote Maintenance capabilities support remote execution of certain tasks, reducing on-site operations. When combined with Predictive Maintenance, plans can be dynamically adjusted based on RUL remaining life and health scores, achieving an evolution from fixed-cycle to on-demand maintenance.
Use Cases
Applicable to industrial equipment, energy facilities, transportation equipment, and other scenarios that require regular maintenance. Preventive maintenance can significantly reduce unplanned downtime and sudden failures, extend equipment life, and is an important part of the full lifecycle management of equipment.
Scheduled service compared with repair after failure
Preventive maintenance does the service and the inspection on an agreed period or amount of use, before the failure has happened. It accepts that wear, loosening, lubrication, or aging seals on some parts are related to time in service or to runtime, so one planned stop or remote check is traded for fewer sudden stops. It does not claim to foresee every fault, and it does not depend on a per-device estimate of remaining life. The work should be a list that can be carried out: what to look at, what to measure, what to replace, and how to confirm it is done. When the period comes from the maker's advice, from past intervals between faults, or from a regulation, the schedule should say which, so it can be shortened or lengthened later. Compared with a breakdown repair, its work order is created when the work is due, not when an alarm fires. Compared with predictive maintenance, it does not need a usable wear model on every device, but it does spend service on devices that are still healthy. Checks that can be done remotely should be listed apart from items that require a visit, so people do not arrive and find that only a counter needed to be read. A health score can decide whether to bring one unit forward into this round. It should not be used to cancel service that is already due and whose basis still holds.
Devices for which a fixed cycle still pays
A fixed cycle still pays when the way the unit fails is relatively stable, the cost of replacing or checking early is lower than one sudden stop, and the site can actually finish the work when the cycle arrives. When there are many devices, and the value of one unit or the model data is not enough, periodic service is often more practical than predicting each unit. The cycle can be calendar time, or runtime hours, distance, or a count of actions, but one job should have one primary counter. Another counter is at most an extra check. The first cycle of a new device should start from installation or commissioning, not from the purchase order. A device left unused for a long time should pause the counter or switch to a storage check, so a site-visit order is not generated in the warehouse. Spares and skills have to be ready before the due date, or the plan is only a string of overdue unfinished orders. Completion has to write back the time and the counter. That is what lets the next round be calculated. If telemetry supplies runtime hours, the rule for an interruption has to be written down. It cannot sometimes fill zeros and sometimes accumulate as if the unit had run at full load.
A checked list that no longer matches the site
A work order marked complete at the moment it is created recalculates the cycle at once. The site never did the work, and the next round is pushed back by a whole cycle. A write-back that uses the time the order was opened, rather than the time the work finished, shortens the interval, and service gets denser each time. After a part is replaced, leaving the related counter uncleared and unmarked makes the new part inherit the old part's due date. A list that is a generic template, and does not match this device's model, cannot be checked off, so the whole order is simply closed. A remote check that failed still allows the whole order to complete, with no reason left for what was not done. A shutdown window that is too short still generates items that require opening the unit, the site does only a visual check, and the system cannot tell the difference. Several devices sharing one order, with one of them not done, are all recorded as serviced when it is closed. Shortening the cycle and recomputing from a very early commissioning date backfills a mass of overdue work. Lengthening it with no anchor makes a device that was just serviced due again at once. Combining a predictive model's suggestion and periodic service under one completion flag lets one false alarm from the model clear the real cycle as well.