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實際應用

工業機器人的預測性維護

利用預測性維護解決方案快速識別問題並修復汽車工業機器人。保護您的資本支出投資,將停機時間降到最低,並最佳化資源配置,以達到最高效率和生產力。

工業機器人在汽車工廠中處理汽車零件。

Challenge

What are the major challenges while operating robots?

  • Torque is increasing due to continuously aging robot equipment
  • Potential failure in the reducer gearbox, impacting the robot performance
  • Need to identify the root causes quickly to prevent prolonged downtime

Solution

Enhanced reliability of robotic operations through predictive maintenance combining AI with human insights

  • Automatically generates machine and maintainer behavior models
  • App detects abnormal torque trends and leads your maintenance technicians to the potential grease leak issues e.g., on a single axis
  • Grease leaking example can cause the reducer failure and this can be avoided by replacing the reducer timely

減少工業機器人停機時間並提高效率

汽車產業機器人若維護不當可能會造成許多問題,例如扭矩增加或減速機故障。我們的解決方案可協助您識別潛在問題、確定根本原因,並在問題導致產品生產中斷之前加以修復。透過預測性維護,您將:

  • 及早偵測問題
  • 減少人工檢查
  • 降低維護成本和過度維護
  • 減少停機時間
  • 提高生產力
  • 延長資產壽命
  • 提升永續性
工業機器人在專業工廠環境中執行預測性維護。
An icon representing reduced engineering time with a clock and a gear.

Reduced downtime

Early failure detection and timely repair reduces unexpected shutdowns.

An icon representing reduced engineering costs with a downward arrow and a percentage sign.

Lower maintenance cost

Proactive maintenance prevents more severe equipment damage.

Magnifying glass with an exclamation mark symbolizing predictive fault detection

Increased maintenance staff productivity

Predictive maintenance enables to direct the attention and expertise to where it’s needed most.

案例研究

全球汽車製造商

Senseye Predictive Maintenance 提升 OEE

成果:這家在 20 多個國家設有工廠的汽車製造商希望減少人工分析和生產停機時間。借助我們的解決方案,他們現在:

  • 遠端監控超過 10,000 台機器和 100 種不同機器類型
  • 支持超過 500 名同時在線的活躍使用者
  • 更有效利用大量現有感測器資料
工業機器人在汽車焊接工廠中執行預測性維護。

Have any questions?

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