In increasing productivity at the factory, the managers continue to strive to prevent machine downtime. Downtime is an event where the machine is stopped in the production process so that it can cause the production line to stop completely. With downtime, the manufacturing industry will have the potential to lose profitability.
For example, downtime that occurs can start from a malfunction in a gear. Gear that is continuously working begins to experience changes in conditions so that it has an impact on decreasing engine performance. However, we often don't realize there is a problem with the machine that started months or years ago until the machine downtime occurs.
We can avoid bad conditions like this if we perform predictive maintenance on machines before bad conditions occur. The earlier we can detect a malfunction, the better, so we can have time in planning machine maintenance and ordering spare parts that are suspected to be damaged.
That is why predictive maintenance is important to be able to overcome this. Therefore, in carrying out predictive maintenance, we need to collect the necessary data, such as manufacturing data, machine process data, environmental data, condition monitoring data and so on so that we can analyze the machine.
If the previous condition we did not have data on a gear, then by collecting data the manager can choose which data is needed so that they can find out, analyze, and predict, before the occurrence of damage to the gear. This is commonly known as trying to see the unseen.
By collecting the necessary data it will be easier to perform analysis on the machine.
Predictive Maintenance Solutions (Predictive Maintenance) from Mitsubishi Electric
The goal of predictive maintenance is to achieve zero downtime. Therefore, a solution is needed that can achieve zero downtime by using a solution from Mitsubishi Electric, one of which is by using the iQ Monozukuri Rotary Machine Vibration Diagnosis software application. This software can easily be used to visualize machine conditions by collecting, analyzing, and diagnosing abnormal machine vibration data to avoid machine downtime.
In addition, Mitsubishi Electric also has Factory Automation products that already have a 'self-diagnose' function on the product itself, such as the MELSERVO-J5, Inverter E800, and the MELFA Smart Plus Industrial Robot. This function can detect changes in vibration, friction in components, and early predictions for damage or errors that will occur. So that if replacement parts are needed, they can be replaced before they are damaged. In addition, the function can also support a stable operating system on the device.