Why you should consider integrating automated failure analysis investigations into your operations
When a component fails, there'll be a story in the oil sample reports which can assist in finding the root cause of the failure and prevent future failures. But how many hours are people in the business spending on collecting and analysing data? If you’d like your staff to be out in the field resolving issues rather than crunching numbers in the office, automated oil sample data analysis could be the answer.
Integrating an automated failure analysis system into your process results in a much more accurate and in-depth investigation in a fraction of the time. It also takes out the guesswork and threat of human error associated with manual analysis – giving you hard evidence on which to base your decisions.
Let’s have a closer look at why you should consider the help of an automated failure analysis system.
Automated analysis tools can look at the whole data set over the life of the component and can identify trends and correlations that might be missed by a human analysing huge, multiple datasets across several component lives with many causal factors.
Understanding the reason for a failure is vitally important so it can be fixed, and further problems prevented. Was the component overloaded? Or was it due to a slow degradation of the oil condition that started the failure cycle? An engineer looking at the data might have to make a judgement call on this. If they make the wrong assumption, it will be difficult to put the right steps in place to make sure the failure doesn’t occur again.
Trends over time, or across components in a fleet of machines, are extremely insightful but can be difficult to pick up manually. While sample data might indicate that a problem occurred in the last six months, more detailed analysis may show that the issue started years ago leading to premature erosion of the part. Such insights can help extend the life of a component by thousands of hours.
But, having to sort through historical data is a slow, arduous task. Why place these demands on your engineers when there are automated tools that can do the same job in an instant? Using Oil Sample Analysis tools is like engaging a highly-trained specialist – it can accurately pinpoint the cause of failure, allowing your engineers to spend their time fixing the problem and implementing effective mitigation strategies.
If your oil degrades and stops lubricating, components will wear out more quickly. Regular monitoring of your oil will ensure you can keep it in optimum condition and get the most out of your equipment. Automated software can perform a comprehensive analysis of your samples as often as you require.
If you’re looking to save time and resources and getting better insights into a failure, check out Relialytics’ ‘Failure Analysis Support Tool’ (FAST). Via this service the team will analyse oil sample data leading up to a failure and deliver a comprehensive evidence-based report to support your failure analysis and provide effective actions to prevent a similar occurrence.
Saving time and resources
Assuming an average site is producing 6,000 oil samples per year, and it takes on average 15 minutes to review each sample. That’s a lot of time - around 1,500 hours per year – that’s one engineer/analyst for an entire year. Using Relialytics’ Equipment Condition Supervisor (ECS) the site engineer/analyst can reduce the time spent on oil sample analysis and subsequent actions down to 20% of the current workload, freeing them up to work on and implement the required improvements that will enable the site to realise the improved equipment performance and component life.
If you don’t have a reliability engineer or condition monitoring specialist in-house to perform these analyses in the first place, outsourcing this as a service through Relialytics is an obvious solution.
If you are looking to reduce the day to day and week to week tasks associated with failure investigations and allow your engineers to be even more effective then talk to the team at Relialytics