Preventative versus predictive maintenance

 Prevention is better than cure. And prediction Provides better is better than prevention.

When it comes to machinery, mechanical, electrical, assets, electronic assets, instrumentation, reactive maintenance is the cure for a symptom that is already occurring.

Preventative maintenance, aim to maintain the machinery with an intervention before reactive maintenance is necessary. It could be triggered by an amount of time lapsed, or by the number of hours run or use of the asset upon conditions. For example, conditions would require more frequent preventative maintenance interventions.

Predictive maintenance, intervenes on the basis of data. This approach, optimises, preventative maintenance, targeting equipment, most in need of an intervention, so reducing your maintenance bill. Preventative maintenance also can be applied to improve efficiency so saving on fuel and greenhouse gas emissions.

Predictive maintenance, maybe using conduction with condition, monitoring equipment. Or it might rely on data extracted from the equipment without additional condition, monitoring equipment, but using engineering expertise to the data.

This can be automated and machine learning can be applied to allow system to trigger maintenance interventions, prevent a breakdown or any efficient condition occurring.

Inputs to the preventive maintenance algorithm include past performance, work, order history, customer, complaints, maintenance, history, industry, averages and original equipment, manufacturer. Operating manuals.

As the designer of the preventative predictive maintenance schedule, the engineer would need to take into account any changes from past conditions to current conditions. This could be an increase in volume through put or a change in corrosivity pH temperature frequency of use shift changes.

They are rule program will incorporate consideration of the most critical assets opportunities for downtime maintenance, such as a Christmas or summer shutdown or a change over from one production line to another, and also the materials in involved. The times availability of spares and the types of material consumables are made of, for example Parts that may become brittle with time would give a maximum frequency between interventions ?

Successfully applied a prevention, preventative maintenance schedule, predictive maintenance schedule well reduce equipment, downtime, increase profitability, reduce spares and consumables like Betty use of your maintenance teams time, as well as reducing your carbon footprint you need for fuel. It will increase your security of power to the overall plant and reduce your alliance on power supply .

The author of this article Dr Torill Bigg Is a chartered engineer. She has 30 years experience industry, a very The majority of which was spent in performance I said optimisation process design we’ve 10 years of maintenance standards per performance and risk implementing a major preventative maintenance program.