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Motor CMS (Moter- Condition Monitoring & Diagnosis System)

A solution for real-time motor condition monitoring, status monitoring, and early detection of abnormal signs using IoT sensors (vibration, temperature, current, etc.).

Solution

Motor CMS (Moter- Condition Monitoring & Diagnosis System)

Key Features

Generates condition reports through automatically collecting motor operation data and rule-based diagnostics grounded in operational and management know-how.
As-Is
  • Overall Alarm
  • Manual Work Based on Maintenance Personnel Experience
    (Data Collection, Analysis, Report, Repair History Tracking)
To-Be
  • Parameter Alarm
  • Auto Data Collection
  • Diagnosis Rule Evaluation
  • Auto Reporting
  • Digitalization of Maintenance Information
Motor SCADA Data Flow
모터 SCADA 데이터 흐름도
Automatic Data Gathering

  • Sensor consulting, implementation, diagnosis

  • Equipment/IoT data gathering

  • Real-time analysis on Edge

Fault Diagnosis Rule Generation

  • Equipment standard rule setting

  • Optimized rule deployment

  • Rule management by experts

Monitoring & Fault Diagnosis Report

  • Condition & diagnostics monitoring

  • Auto scheduled inspection reporting

  • Auto fault diagnostics reporting

Solution Advantages

Provides M/L(Machine Learning) model trained on historical failure data, dedicated data lake for motor maintenance, and hybrid architecture tailored to the customer's environment.
Fault Diagnosis M/L

  • Data pattern recognition

  • Past fault data M/L

  • Anomaly Detection M/L

Data Lake

  • Data lake building

  • Statistical analysis environment setup

  • M/L analysis environment setup

Hybrid Architecture

  • Customer dependent architecture

  • On-Premise and cloud support

Expected Benefits

Enhanced Production Stability

  • Reduced unexpected equipment failure

  • Optimal maintenance schedule setup using predictive data

Reduced Maintenance Burden

  • Maintenance optimization and automation

  • Effective response by accumulating maintenance know-how based on data

Component Replacement Cost Savings

  • Cost-Efficient Maintenance

  • Minimizing Production Loss and Emergency Maintenance Expenses

Reference

물류창고 Stacker Crane 예지보전
Logistics Warehouse Stacker Crane Predictive Maintenance
Requirements

  • Predictive maintenance of stacker crane motors in automated unmanned warehouse

Key Achievements

  • Savings about \180M, predicted 7 total failures in 2 years

Aggregate Plant Conveyor Predictive Maintenance
Requirements

  • Stable production with predictive maintenance of hard-to-find motor parts

Key Achievements

  • Stable production and preemptive inspection with early abnormal vibration detection