Electrical Engineering

The Artesis predictive maintenance system provides automated diagnosis of a very wide range of mechanical and electrical faults for most types of electric motor driven systems as well as generators and alternators. In addition to covering the types of faults sometimes detected using vibration measurements, like foundation problems, imbalance, misalignments, and bearing defects, it also provides early warning of electrical problems. This offers significant benefits over occasional Motor Current Signature Analysis (MCSA) and can help extend the period between rewinds.

Each Artesis Motor Condition Monitoring (MCM) unit covers a complete motor and the equipment driven by it, and is typically installed in the motor control cabinet. Since connections are required only to the motor supply cables, installation costs are low with no need to access the driven equipment for any sensor installation. Once installed, the system trains itself to recognise normal performance, following which it continuously monitors the equipment for possible faults. When such a fault is detected, the system provides a diagnosis of one of a wide range of mechanical and electrical problems, and indicates severity so that the user can make decisions on the most appropriate intervention.

Because the Artesis system is simple to install and requires little user intervention in operation, it combines low start-up costs with the significant benefits of predictive maintenance. Since it doesn’t require any sensor installation on the equipment itself, Artesis MCM is a particularly good solution for inaccessible equipment like tower fans, and is applicable to most types of pumps, compressors, and materials handing systems. Artesis PCM (Plant Condition Monitor) extends this cover to auxiliary generators and alternators.

A wide range of communications options are available, allowing users to integrate the Artesis system with their existing control and data acquisition or maintenance management architectures. Where facilities are spread across a wide geographic area, and may also be difficult to reach, a typical installation will combine automated alerts using email messages with centralised on-line monitoring screens.