Enhancing the comprehensive support capability of typical equipment has gradually become a key focus of enterprise equipment intelligence construction. The ladle turret, crucial in continuous casting, operates with low speed, high load, and significant impact. Conventional monitoring methods such as vibration and temperature have little effect on monitoring this equipment. The article introduces stress wave monitoring technology, which is sensitive to friction and impact events of mechanical equipment, collects high-frequency pulse signals, focuses on early fault development, and is used for status monitoring and fault diagnosis of ladle turret to achieve predictive maintenance. Through the application of the ladle turret of caster and the diagnosis and analysis of rotating bearing faults, it has been proven that it can accurately identify faults and provide effective early warning in the early stage of ladle turret faults. This technology helps enterprises to comprehensively control the operation status of equipment and improve the overall operational efficiency of equipment.

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Application of Status Monitoring for Ladle Turret of Caster Based on Stress Wave Technology

  • Xingrong Wang,
  • Yong Long

摘要

Enhancing the comprehensive support capability of typical equipment has gradually become a key focus of enterprise equipment intelligence construction. The ladle turret, crucial in continuous casting, operates with low speed, high load, and significant impact. Conventional monitoring methods such as vibration and temperature have little effect on monitoring this equipment. The article introduces stress wave monitoring technology, which is sensitive to friction and impact events of mechanical equipment, collects high-frequency pulse signals, focuses on early fault development, and is used for status monitoring and fault diagnosis of ladle turret to achieve predictive maintenance. Through the application of the ladle turret of caster and the diagnosis and analysis of rotating bearing faults, it has been proven that it can accurately identify faults and provide effective early warning in the early stage of ladle turret faults. This technology helps enterprises to comprehensively control the operation status of equipment and improve the overall operational efficiency of equipment.