Predictive maintenance is often regarded as the most advance and desirable form of maintenance. Organisations have spent millions in upgrading their capability to perform effective condition based monitoring. Many have purchased a wealth of advance monitoring tools perceived to automatically enable the maintenance workforce to effectively predict the impending failure of assets. However, in many cases, these concepts are difficult to realize and in some cases they are simply elusive. While almost any type of asset condition data can easily be monitored and captured, it is sometimes difficult, if not very difficult, to interpret the data and turn them into meaningful information to enable the organisation to make the correct replace/repair decision. Even more concerning are the cases whereby as a result of condition monitoring practice have led to the wrong decisions being made. Hence, many organisations have found that the practice of condition monitoring has simply become an exercise to collect asset data without any (or only minor) improvement in asset reliability.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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Benefits of EXAKT :

 

• Relates condition variables to failure modes with statistical confidence levels and therefore prompts the company to orient their CBM programs toward collecting significant data 

• Gives the equipment operator a high level of confidence that the equipment will not fail before the end of the production run 

• Reduces maintenance costs by optimizing the blend of preventive renewals and renewals due to failure

• Provides for orderly replacement planning by predicting remaining useful life

•  For complex equipment, increases the accuracy of failure prediction by detecting potential failures at the component level

• Provides accurate and consistent prediction model for entire equipment (multiple failure modes) easy to read graphical output shows results at a glance and easily integrated with current maintenance management systems and procedures.