Predictive maintenance is a technique for diagnosing the point of failure of a machine component, so that said component can be replaced before a breakdown occurs.
Thus, equipment downtime is minimized and the operational life of the component is enhanced and increased.
Therefore, predictive maintenance should be understood as a series of actions and techniques aimed at diagnosing possible machinery failures and defects in the initial stages.
The objective is to prevent these errors from growing during operation and causing emergency shutdowns and downtime.
Generally, it tends to be systematic and preventive in nature; that is, a study is carried out even if the machine has not presented any problems.
Among the different signs of failure, high temperature, unfamiliar noise, ultrasound, vibration, wear particles, etc., can be observed.
And, is it effective?
For a predictive maintenance program to be effective, it must increase the reliability and operational status of the machinery while reducing production costs.
To achieve this effectiveness, it is necessary to determine the equipment to be used in said maintenance, the machines, and the required processes.
So, how do we achieve that effectiveness? The most important factors will be:
- Understanding the different types of failures and negative effects that typically occur.
- Understanding the advantages and disadvantages of different maintenance techniques to choose the most appropriate one.
- Having a team of qualified technicians, as the lack of professional training and expertise is considered a negative indicator in predictive work.
- Raising awareness of the importance of predictive maintenance compared to corrective maintenance.
Predictive Maintenance in Industry 4.0
It is impossible to ignore the rapid changes we are experiencing in industrial processes driven by current technological advances.
Smart factories are reshaping the future of companies while combining flexibility and technology.
Consequently, predictive maintenance plays an important role in Industry 4.0, as it adapts perfectly to the concepts of anticipation, efficiency, and productivity.
Industry 4.0 represents a revolution between the automation of production processes and the arrival of the digital era.
Among the different sectors, some are more demanding than others, such as the automotive industry, whose machinery requires efficiency and productivity, and therefore requires anticipation of potential failures.
Royse offers you the predictive maintenance you need
Predictive maintenance reduces the required preventive scheduling by identifying specific components to inspect and repair or replace. This ensures that downtime and production losses are avoided.
At ROYSE, we are deeply involved in our clients’ needs and their production; therefore, we have excellent qualified professionals to provide this service within the well-known CONDITION MONITORING.
If you are not yet familiar with everything this section covers, visit the SERVICES page from our menu bar and find out about: Advisory service for assembly, calculation, optimization, and application knowledge, failure analysis, among many other items.
Remember that thanks to our proximity model, we manage to reach the client in the shortest possible time.
If you still have any questions, contact us and we will be happy to assist you.