E-MotorGuard

Condition monitoring of motors using electrical sensors.

The E-MotorGuard is designed for online electrical condition monitoring and predictive maintenance of critical AC rotating devices. By utilizing real-time model-based current analysis, E-MotorGuard can detect electrical faults in machines operating under various speeds, loads, control algorithms, and environmental conditions. Its patented high-frequency modeling technology allows for the early detection of most types of electrical faults, as soon as one switching period after a fault occurs. The system is being developed specifically for predictive maintenance, with a focus on predicting risks of winding short circuit and electric aging of insulation systems in electrical machines.

Highlights

E-MotorGuard is the next-generation online monitoring system that integrates hardware and software based on data algorithms, physical models, and artificial intelligence. It uses the voltage signal from the inverter to the motor as a natural signal generator, analyzes high-frequency components in the resulting current signals, and extracts relevant information about the motor winding and insulation layer conditions.

• Specialized in monitoring insulation systems of electrical machines
• Earliest fault detection
• Online condition monitoring
• Automated fault diagnosis
• Robust performance despite varying working conditions
• Tailored monitoring algorithms for each individual machine

Features

• Nonintrusiveinstallation or retroffting
  Voltage and current sensors are needed to get data, which can be easily installed outside of electrical machines.
• Real-time monitoring
  E-Motorguard constantly measures terminal voltage and currents to evaluate the electrical machines' insulation condition. It can recognize all stator winding faults under various loads, speeds, control algorithms, and environmental conditions.
• Edge artificial intelligence
  Machine learning algorithms can be deployed to edge devices where the electrical signals are measured. There is no high demand for the data transfer rate of the Internet of Things industry.
• Earliest fault detection
  Turn-to-turn short circuit can be detected as early as one switching period after the fault.
• Ease of maintenance planning
  Remote monitoring and reporting services actively contribute to the establishment of a sustainable predictive maintenance system in the plant, alleviating the crew from any additional workload.

The first-generation prototype of

E-MotorGuard