Submersible Machine Service Timing Using Dynamic Condition Feedback
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Solution Overview
Problem
Current methods for determining the service interval of submersible machines, such as pumps and mixers, often result in premature or late maintenance, leading to costly unplanned standstills and inefficient operation, as they rely on fixed calendar and running time thresholds rather than adapting to the machine's actual operational conditions.
Innovation Solution
A method that dynamically adjusts the service interval by monitoring operational parameters like temperature, vibrations, and operational speed, comparing these to default values to calculate adjustment factors, and setting the service interval to the shortest of the calendar and running time intervals, thereby ensuring maintenance is performed when needed without unnecessary downtime.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed service interval is used, then service is performed regularly, but service may be premature or too late leading to unplanned standstills
Solution Approach 1:
The service interval is transformed from a fixed static value to a dynamic value that adjusts based on actual machine operating conditions. The system continuously monitors operational parameters and modifies the service interval accordingly, allowing extension when conditions are favorable and reduction when wear indicators appear, thereby achieving precise service timing that prevents both premature and late maintenance
Solution Approach 2:
The system implements continuous feedback by monitoring operational parameters such as temperature, vibration, and load. This feedback loop allows the service interval to be dynamically adjusted based on actual machine condition, ensuring service is performed at the optimal moment rather than at fixed intervals, thus preventing unplanned standstills while avoiding unnecessary maintenance
2Reliability
If service is performed frequently to prevent unplanned standstills, then reliability improves, but productivity decreases due to unnecessary maintenance
Solution Approach 1:
The service interval dynamically adapts to actual machine conditions, extending the interval when operating parameters indicate low stress and wear. This allows the machine to operate longer between services without increasing failure risk, thereby maximizing productivity while maintaining reliability through condition-based rather than time-based maintenance scheduling
Data Source
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AI summary
The invention relates to a method for periodically determining time-to-service of a submersible machine. Wherein the method comprises the following steps during each periodically determination: - updating at least one of said calendar-time-to-service and said running-time-to-service, by: - monitoring an operational parameter of the machine having effect on one of the calendar-time-to-service and the running-time-to-service, - comparing the operational parameter value with a default operational parameter value, wherein a deviation in said comparison provides an adjustment-factor that is proportional to the deviation, and - adjusting the calendar-time-to-service or the running-time-to-service based on the adjustment-factor, - thereafter setting the time-to-service of the machine equal to the shortest of the calendar-time-to-service and the running-time-to-service.