What are the 3 types of industrial maintenance?

Focus on types of industrial maintenance

In this article, we will discuss the different types of industrial maintenance used in a production chain.

What are the different types of industrial maintenance?

Today, in Industry 4.0, challenges are multiplying, particularly regarding equipment safety and maintenance. In this context, production sites must find quick and efficient solutions and tools to ensure optimal functioning of their machines within the company. To achieve this, a reliable maintenance system is necessary. What are the different types of industrial maintenance? In this article, Amiral Technologies will explain everything.

Corrective or Breakdown Maintenance

The objective of corrective or breakdown maintenance is to repair a faulty equipment so that it can return to its initial operating state. It can involve fixing a complete failure that prevents the entire machine from functioning or addressing a partial failure that affects the machine during a specific task.

During a corrective industrial maintenance operation, it is crucial for the intervention team to have all the required information to be fast and efficient. Technicians resort to this type of action when they have no other means to anticipate a breakdown. Therefore, in the case of an unplanned machine stoppage, it is essential to act quickly to avoid jeopardizing the entire production and restore it with peace of mind.

Preventive Maintenance

As the name suggests, preventive maintenance involves mobilizing technicians in advance according to a predefined schedule. This maintenance aims to protect the production chain through upstream control, by preventing possible malfunctions and breakdowns of equipment, components, and spare parts.

According to regulations in force, preventive maintenance will be mandatory for certain equipment and must comply with the manufacturer’s recommendations.

However, while preventive industrial maintenance contributes to the preservation of machines, it has its limits because it is challenging to anticipate breakdowns through this practice, given the gap between the theoretical wear of an asset and its actual wear. Therefore, preventive industrial maintenance is not always optimal, as it sometimes requires the mobilization of an entire team and financial resources when there are no machine breakdowns.

Predictive Maintenance

Predictive maintenance serves to address all the issues of both corrective and preventive maintenance. With the advent of Industry 4.0, this technique has increasingly developed to adapt to the sector’s new needs with crucial skills. While corrective and preventive maintenance cannot anticipate breakdowns, predictive maintenance possesses this quality.

Predictive maintenance operates by using machine learning algorithms to anticipate breakdowns and organize interventions on the relevant machines before they stop functioning. This practice avoids unexpected machine downtime and optimizes the allocation of human resources for maintenance and spare parts inventory.

With this perspective, Amiral Technologies has developed DiagFit, its predictive maintenance software that helps industry experts detect anomalies to preserve industrial activity. Whenever an anomaly is detected, experts can accept or reject the alert to feed the software’s algorithm and improve it.

To cater to a wide range of users, DiagFit works with any type of data and adapts to any machine. Additionally, the software has a clear and readable interface to facilitate the work of maintenance and service departments. Therefore, DiagFit represents a small revolution in the industrial world, as it can integrate with computerized maintenance management systems (CMMS) and better bridge the gap between machines and the individuals responsible for their maintenance.

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