Daily Oil Sample Analysis - 'Equipment Condition Supervisor'
Relialytics undertakes semi-automated oil sample data analysis to maximise the value our clients derive from oil sampling programs.
Relialytics’ Equipment Condition Supervisor' (ECS) oil sample module utilises AI to interpret sample results and detect potential component failure modes and importantly lubrication degradation.
The system has been designed to minimise daily input from site engineers by:
- Directly addressing common/known issues, for example installation of wrong oils or external ingress in to compartments, by creating CMMS notifications / service requests.
- Directing key samples to the site engineer via a daily dashboard for examination before creation of notifications/service requests, placing on watch or discarding.
The ECS is designed to allow users to provide feedback on results using specific tags enabling continual improvement of the algorithms.
The ECS automatically examines daily oil sample data with the specific aim of providing consistency:
- Of analysis from sample to sample, component-to-component.
- In fluid use (i.e. the right fluids are being used for the compartment).
- In fluid quality (i.e. the fluid is free of contaminants).
- In service intervals.
In short, the ECS oil sample module takes the bulk of the sample review work out of the site engineer’s hands and ensures they only examine the samples that need to be examined.
Our aim is to improve your oil program quality such that 80% of your samples are reported as normal.
The following shows why we have designed this automated approach.