Implementation
Condition-Based Maintenance
Analysis of signs and trends of deterioration to support condition-based maintenance decisions.
We select predictive techniques based on their technical feasibility and the consequences of the failure that we seek to avoid.
We evaluate signs of deterioration, inspection frequency, required skills and cost-effectiveness to define the most appropriate alternative.
Deterioration signals, inspection records, available techniques and failure consequences.
We review sources with the team to identify missing information and define an appropriate scope of work.
Criteria for selecting predictive techniques, inspection frequencies and intervention decisions.
Deliverables are agreed at the start of the project and reviewed with the client’s team. Their scope depends on the diagnosis and the quality of available information.
Analysis of signs and trends of deterioration to support condition-based maintenance decisions.
We define the scope based on the diagnosis and available information. AI agents support analysis and documentation; the client’s team provides the operational context, and Ellmann facilitates the process and reviews decisions.
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