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Without objective data we can not know the status of machines, a temperature value, a level of vibration are parameters from which we can monitor the status of the machines of an industrial plant.
Predictive maintenance, modulator of corrective and preventive actions, needs fed information from the plant monitoring systems.
In the recent years there have been significant advances in this field and they are already applied successfully in the most productive industries. The following paragraphs set out the key to successful implementation of advanced monitoring equipment.
Preditec/IRM focuses its work exclusively in the engineering of predictive maintenance; therefore, we have the most advanced technologies applied to detection and diagnosis of faults in rotating machinery.
Predictive techniques most relevant are:
Vibration analysis
Vibration analysis is the main technique for monitoring and diagnosing rotating machinery and implement a predictive maintenance plan.
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Lubricant analysis
The lubricant analysis techniques are essential to determine the deterioration of the lubricant, the entry of pollutants and the presence of wear particles.
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Analysis of electric motors of Induccin
In recent years technologies have been developed through the simultaneous measurement of current and voltage allow the diagnosis of AC motors.
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Thermograph
A reduction in the prices of cameras have allowed termogrficas any maintenance department and benefits of this powerful predictive technique.
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Analysis of alternatives Machines
Reciprocating engines and can be diagnosed with high accuracy from the dynamic pressure signal, ultrasound and vibration.
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Ultrasnica discoverable
The capture of ultrasound is a complement to plans for predictive fault detection may be missed if we only use other techniques.
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ELECTRICAL partial discharge machines
The technique of partial discharge study applied to large electrical machines to assess the state of the stator to the machine in operation.
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Supervision of major parameters of machines ELECTRICAL
The criticality of large electrical machines justifies the continuous monitoring by various techniques complementary.
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