Asset Management System (AMS)

The Asset Management System (AMS) from Premium Care provides continuous visibility into the operating condition of machines and gearboxes. Instead of relying on reactive maintenance, AMS enables assets to report their health status through near real-time condition data. This makes it much easier for maintenance teams to spot patterns, pick up early signs of wear, and step in before a small issue turns into a breakdown.

Because the system supports wireless connectivity and is particularly strong on gearbox monitoring, it fits naturally into plants that want to move toward predictive maintenance. That shift has a direct impact: fewer surprises, better planning of shutdowns, and a longer, more reliable life for critical equipment.

AMS is designed to sit alongside what you already use. It can be linked with existing control systems and SCADA platforms so that condition data becomes part of your normal operations view, rather than yet another isolated tool.

Monitoring Level Suitable For Parameters Captured (as per Premium AMS)
Basic Monitoring Non-critical or auxiliary gearboxes and equipment Temperature, Vibration
Standard Monitoring Important operating equipment Temperature, Vibration, RPM (Speed)
Special Monitoring High-value or heavily loaded gearboxes Temperature, Vibration, RPM (Speed), Lubrication Life
Critical Monitoring Mission-critical gearboxes and drivetrains Temperature, Vibration, RPM (Speed), Lubrication Life, Motor Current Trend

Key Advantages:

  • Real-time visibility of machine and gearbox condition using wired and wireless sensors
  • Earlier fault detection through trends and analytics instead of only alarms
  • Less unplanned downtime by moving to condition-based and predictive maintenance
  • Better planning for spares, overhauls, and asset lifecycle decisions
  • Scalable setup that can start small and grow across lines or sites
  • Centralised data and remote access via clear, dashboard-style interfaces
  • Seamless integration with SCADA and existing control systems
  • Longer asset life through data-driven maintenance decisions

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