Maintenance definition has been given as a collection of technical and administrative operations aimed at keeping or restoring an item or system to a state where it can perform its intended function. Technical skills, techniques, and methods are required for proper maintenance concepts and savings of assets such as factories, power plants, cars, equipment, and machines. System function (availability, efficiency, and product quality), system life (asset management), and system safety with minimal energy consumption are the core goals of maintenance. Poorly maintained machines or equipment may have unexpected malfunctions, resulting in production or servicing interruptions. This usually leads to decreased utilization and, as a result, lowers productivity. As a result, maintenance is inextricably related to an organization’s competitiveness and profitability.
Maintenance triggers notify technicians when an asset needs to be serviced. Maintaining equipment at its best and making it available when you need it while avoiding extra effort requires planning, responding, and recording maintenance triggers. Breakdown, time-based, event-based, usage-based, and condition-based maintenance are the five most prevalent types of condition-based maintenance triggers. To achieve optimum efficiency and reliability at your business, it’s critical to understand when and how to employ each one.
What is event trigger?
This type of maintenance trigger can be summarized in one sentence: if this event occurs, maintenance type is triggered. Simply create a scenario and assign maintenance chores to it. When an event is entered into a digital maintenance strategy, a sequence of actions is initiated to help reduce the event’s negative impact or ensure that assets operate properly during the event. For example, if the facility’s basement floods, the electrical systems must be checked and certain assets must be evaluated if an audit is scheduled.
An event trigger is, by definition, part of a planned, and reactive maintenance approach. Many things happen that are beyond of your control, but that doesn’t mean you can’t plan for them. Creating event-based triggers repair measures in maintenance teams by creating a blueprint for crises or a sudden change, allowing activities to be completed promptly, assets to be properly maintained, and parts to be on hand when needed.
Event-driven maintenance is becoming increasingly crucial in utilities’ efforts to deal with decreasing manpower while also meeting increasing companies’ demands for increased power quality and reliable power supply. Modern microprocessor-based are damage dependent that relays measure and calculate a variety of analogue metrics, as well as provide additional monitoring capabilities, allowing for the move from scheduled to event-oriented maintenance without the need for specialized equipment. The paper discusses a number of features that are available in microprocessor-based relays to assist utilities in determining the need for substation equipment maintenance based on user-defined alarm signals from the protective device. The relays include built-in analysis tools that process fault data and transform it to usable data, eliminating the requirement for protection, control, and maintenance staff cleaning in the decision-making process. They use various algorithms depending on current and voltage samples that have been recorded or measured.
On essential assets that are vulnerable to external pressures, event-based triggers should be used. For example, hurricane-prone equipment or an asset with a greater emissions output that may be subject to new environmental regulations. Preventive, condition based, and predictive maintenance are all types of maintenance that use event triggers or ereignisorientierte Instandhaltung.
Event based preventive maintenance
When an Asset’s usage threshold is met or exceeded or tear or wear, Event Based Preventative Maintenance is utilized to undertake preventative maintenance tasks. Preventative Maintenance, for example, can be applied to a defective vehicle and its maintenance schedule, which is necessary at predetermined intervals. The Vehicle form keeps track of information about a vehicle, including the trouble maintenance schedule (Maintenance Schedule), the odometer reading at the time of the last maintenance (Last Scheduled Maintenance Completed (KM)), and the current odometer reading (Current KM). If the current odometer reading passes the next maintenance milestone, a new Vehicle Maintenance form is prepared automatically, and the maintenance coordinator is notified.
Event based predictive maintenance
Predictive maintenance plays an important role in lowering operational costs in a variety of industries, including the railway industry. To detect compromise and diagnose technical and damage issues, predictive maintenance uses real-time data. Typically, sensor data is used for this purpose. Events data could be a viable alternative as a source of information for diagnosing and predicting errors, for example, investigating the use of events data for failure diagnosis and prediction in the railway business. The Long Short-Term Memory neural network is utilized here since it has previously been successful in solving sequence classification problems. Although the prediction model has a high training accuracy, it is currently unable to generalize the spare parts or wear parts patterns and apply them to new data sets.