Continuous Flow Engine Maintenance Planning for Spare Part Forecasting
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Solution Overview
Problem
Continuous flow engines, such as gas turbines, face challenges in managing fluctuating energy production from renewable sources, leading to increased strain and wear, with no available replacements and difficulty in predicting component failures, resulting in prolonged downtimes and high costs due to complex interrelated components.
Innovation Solution
A method and system for optimizing spare part management by identifying interrelated components using a component maintenance list, incorporating probability assessments and simulations to determine the need for replacement, failure, and non-repairability, thereby reducing downtime and optimizing servicing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual expert assessment is used to identify components for maintenance, then expertise-based decisions can be made, but it becomes difficult or impossible to predict all interrelated components and assess all cases accurately
Solution Approach 1:
The patent replaces manual expert mechanical assessment with an automated computer-based system that uses algorithms to identify interrelated components and predict maintenance needs, eliminating human limitations in comprehensively assessing all cases
Solution Approach 2:
The system enables automatic self-assessment of maintenance needs by using component data and interrelation databases to autonomously identify components requiring service without requiring manual expert intervention for each assessment
2Reliability
If spare parts are stocked in advance for all possible components, then replacement can be immediate, but the cost and logistics of managing extensive spare part inventories becomes prohibitive
Solution Approach 1:
The system performs preliminary identification of components likely to fail by analyzing interrelations and current maintenance lists, enabling targeted preparation of only necessary spare parts before service events occur
Solution Approach 2:
The system dynamically adjusts spare part requirements based on changing parameters such as component interrelations, failure probabilities, and specific maintenance contexts, optimizing inventory levels rather than maintaining static overstock
3Reliability
If comprehensive servicing of all components is performed during each maintenance, then all potential failures are addressed, but the downtime and effort required increases significantly
Solution Approach 1:
The system extracts and identifies only the specific interrelated components that require servicing based on the primary maintenance list, separating necessary services from unnecessary ones to minimize downtime
Solution Approach 2:
The system applies partial action by servicing only the subset of components that are interrelated with the primary maintenance items, rather than performing exhaustive servicing of all components
Data Source
AI summary
A method of servicing a continuous flow engine and includes an improved evaluation of the planning of a scheduled servicing to ensure the reliability of such continuous flow engine and improve the available options and benefits. A computer program product includes instructions operable to cause a computing entity to execute an inventive method. A storage device provides an inventive computer program product. A measurement device is adapted to be utilized in maintenance or overhaul of a continuous flow engine.