08Apr

Prediction Is Better Than Repair

For any industry to function seamlessly, what is important is that the equipment to be up and running in perfect form. Any unforeseen anomaly can cause a breakdown in the system and have many ill-effects like

  • Wastage of working time of the industry
  • Wastage of manpower
  • Expenses incurred in repair
  • Loss faced in case industry is unable to meet client demands because of breakdown
  • Potential loss due to damaged goods produced by faulty machinery
  • Environmental hazard
  • Threat to human life involved

How can one avoid such outcome?

Though regular maintenance of all the equipment seems like the most obvious option, it ends up becoming an expensive affair. Also, maintaining parts that are functioning well is also unnecessary.

Considering all the factors there is one simple solution. Predictive maintenance is an easy, cost-effective method of identifying the condition of all the parts and machinery and evaluating when these parts would require maintenance. Click here to find out more.

This saves efforts of unnecessary maintenance and also the expense that is incurred doing it.

Why do equipment require predictive maintenance?

Over time, equipment undergoes wear and tear due to many reasons may falter in their functioning. It could be due to mechanical failure, or even loose connections, equipment could be overheated or overcooled for long durations of time which may result in their damage. The machinery could also be overworked. Another factor that may cause damages is environmental factors like increased level of humidity, environmental corrosion, excessive dust or dirt in an environment that settles within equipment to cause damage. Also, proximity to the sea may also shorten the life of any equipment.

How can predictive maintenance be carried out?

Depending upon the industry and the types of equipment involved, there are various methods which can be used to evaluate the conditions of parts. Some of them are:

  • Thermal Imaging
  • Vibration Analysis
  • Analysis using sonic and ultrasonic wave
  • Oil Analysis
  • Emission Testing
  • Condition Monitoring and much