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Development of Equipment Condition Predicting Models

Development of Equipment Condition Predicting Models

Devel

Models and algorithms for current equipment condition and possible future changes to be used in decision support systems and smart reliability management systems for production assets

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Development of Equipment Condition Predicting Models

The purpose of the service

Automated calculation of metrics and indicators describing the current equipment condition and its change forecast

Optimized repair and operating costs

Higher performance and energy efficiency of equipment

Increased efficiency and reduced downtime of equipment

Optimized procurement of spare parts and consumables

Main Tasks

Qualitative and quantitative analysis of available equipment data

Calculation methods for metrics and indicators of equipment condition

Implemented calculation algorithms for metrics and indicators based on the developed methods

Validated models and assessed calculation accuracy

Work Procedure

Analysis of production assets (data sheets, equipment condition, data examples)
Condition predicting model code
Model validation
Model integration into the software involved in the production and decision-making processes