PREDICTIVE ANALYTICS

When data learning unlocks its potential, the data can become an asset in company.
By learning plant data, you can identify functional, potential failures, and even hidden failures. You can inform equipment problems in advance to reduce maintenance costs and optimize plant operation.

  • Utilization of accumulated historical data for predictive analysis
  • Easily determined normal and abnormal conditions
  • Identified potential failures, hidden failures, and mechanical defects
  • Condition-based maintenance schedule

Predictive Analytics

with advanced pattern recognition and identification of abnormal condition

잠재고장 예측분석 도식 : 자세한 설명은 아래의 내용을 참고하세요

  • Raw data 입력(원시 데이터 입력)
  • 감독감(학습된 데이터셋, 목표하는 결과) / 알고리즘 → 처리 / 모델 학습
  • 모델 학습 / 학습된 모델 / 입력
  • 정상상태 실시간 모니터링 / 이상 징후의 파악

Benefits of Predictive Analytics

Early detection of potential failures enables you to operate your plant more efficiently and reliably.

  • Increased
    Lead Time

    Secure enough lead time for accurate decision-making considering multiple angles of situations

  • Predictive
    Analytics
    Considering
    Real-Time
    Equipment
    Condition

    Support predictive maintenance to reflect real-time status of equipment

  • Efficient
    Recourse
    Utilization

    Support early procurement of necessary resources and optimal utilization of resources

  • Improved
    Plant Safety
    and Efficiency

    Increase plant stability and efficiency by identifying and addressing problems in advance

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