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Application to Abnormality Sign Analysis and Deterioration Diagnosis Components of Multivariate Analysis Technologies

  • Business Group & Production Technology Group
  • Industry Solution
  • Safety and Security
  • IoT
  • Construction of a mathematical model with high prediction accuracy
  • High-precision prediction of process values subject to monitoring
  • High-precision detection of signs of abnormality in plants

This technology utilizes multivariate analysis on enormous amounts of data generated on a daily basis by equipment and sensors to detect signs of abnormality and equipment deterioration to help ensure stable operation of a plant.

In addition, we have developed a technique in which a mathematical model is created from multivariate data obtained during normal operation on a monthly or yearly basis. This realizes high-precision prediction and detection of signs of abnormality from a long-term perspective.

As a result of applying this technique to measurement data of an actual plant, we successfully caught signs of abnormality a few hours or days before failures occurred.

Application to abnormality sign analysis and deterioration diagnosis components of multivariate analysis technologies