Predictive maintenance

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MIM believe in the technique predict the future point of failure of a component of a machine; those components can be replaced based on a plan, just before it fails. Thus the equipment downtime is minimized and component life is maximized.

Predictive maintenance requires an organization and a detailed methodology for this we have:

  • ORGANIZATION:
  1. Means for measuring various parameters showing a predictable relationship with the component lifecycle. These parameters are:

THERMO-GRAPHY, NOISES, QUALITY OIL LEVEL LIGHT, HUMIDITY, DIRT IN LIQUIDS, ENERGY CONSUMPTION.

  1. Specialized equipment, as our team comes from the world of automobile maintenance and remains in continuous training.
  2. IT support for data collection, storing and analyzing history thereof, and with continuous monitoring program alarms that notify the mistake even by email desired.
  • Methodology of inspections:

o Once determined the feasibility and desirability of predictive maintenance to a machine or unit, the next step is to determine or control the physical variables that are indicative of the condition of the machine. The purpose of this part is to review in detail the techniques commonly used in the monitoring as a condition, so to guide for general selection. The purpose of monitoring is to obtain an indication of the (mechanical) condition or health status of the machine so that it can be operated and maintained safely and economically.

For monitoring, it was understood at the beginning, as the measurement of a physical variable that is considered representative of the condition of the machine and its comparison with values that indicate whether the machine is in good condition or damaged. With the current automation of these techniques has extended the meaning of the word also monitoring acquisition, processing and data storage. According to the objectives to be achieved by monitoring the condition of a machine must be distinguished between monitoring, protection, diagnosis and prognosis.

Monitoring machines. Its aim is to indicate when there is a problem. You must distinguish between good and bad condition, and if it is bad indicate how bad it is.

Protection of machines. Its aim is to avoid catastrophic failure. A machine is protected, when values that indicate their condition reach values considered dangerous, the machine stops automatically.

Troubleshooting. Its aim is to define what the specific problem.

Prognosis. Its aim is to estimate how long the machine could operate without risk of catastrophic failure.

IMPROVE PRODUCTIVITY, SAFETY, QUALITY AND ALL THAT saving costs.

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