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.
Starting information
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.
Deliverables and follow-up
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.
AI agents and human review
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.
Alongside implementation support, we offer introductory courses and advanced training to transfer methodological knowledge and application criteria to the team.