Health & Usage Monitoring

Health & Usage Monitoring
The system must deliver expected levels of operational benefit for the user.

Do you want to get the maximum benefit from implementing a HUMS, or enhancing an existing system?

Avenca has a vision of HUMS based on our conviction that the system must deliver expected levels of operational benefit for the user. We consider all factors that impact on introduction and operation in service – including communication systems, logistic information management, the skills and human resources available, and possible changes to maintenance policies.

All too often, we see HUM systems being delivered without proper attention to all those vital details that determine whether HUMS will prove cost-effective. The resulting ‘gap’ might for example be a lack of key measurement data, speed of data transfer, or an important analysis technology, and can result in HUMS failing to deliver the desired benefits.

An outline view of the “end to end” system elements is shown schematically below.  This illustrates that the MEASUREMENT SYSTEM must acquire DATA in a particular way (using appropriate sensor types and a suitable sample rate, etc.) in order to yield INFORMATION about the potential failure of selected mechanical components (using specialised diagnostic/prognostic analysis software), and this in turn delivers a certain level of CAPABILITY – and so on.  Each of these aspects defines individual characteristics of the system, which we can examine in as much detail as needed, and as a whole makes it possible to describe the performance of the complete, integrated system.

End-to-end HUMS interactions

We exploit a model-based approach to identify all such dependencies as well as to predict and quantify the performance of the system. In doing so, we put numbers to the level of benefit to be expected as well as the total cost involved. Our HUMS model allows us to try various ‘what-if’ scenarios to challenge any underlying assumptions, and properly optimise system design.

We can also apply advanced data analysis techniques to enhance the performance of your HUMS or Condition Monitoring System, particularly in the areas of missed or false alarms.