To predict stoppages of centrifugal compressors and identify abnormal operating modes.
The use of Clover PMM — a system for diagnosing and predicting the technical condition of equipment.
The initial data
- dataset provided: 700,000 values, with 43 parameters for each compressor
- training dataset: 150,000 values when operating in nominal mode without failures
- some of the compressor stops were known, while some were hidden by the customer
- the date and time of maintenance and repairs carried out for the analyzed period were known
The abnormal operating mode of the equipment is indicated by the growth of blue lines. This allows us to take measures to prevent incidents in advance. A red line indicates a compressor stoppage.