A commonly used technique for the detection of faults in large three-phase induction motors is to measure the supply current to the motor and analyze the signal spectrum. This technique is well established and has been shown to be indicative of a faulty condition. However, current signature analysis is usually used by very skilled technicians using expensive equipment. A cost effective condition monitoring technique is needed for smaller motors (those smaller than 200 HP). A motor's heat signature tells more about its quality and condition. For heavy-duty motors, it is very important to detect overheating because hot windings deteriorate rapidly. This paper explores the possibilities of using wireless sensors inside the motor. Wireless sensors are gaining popularity in condition monitoring applications because of their relatively low cost and ease of installation. This paper proposes a system of condition monitoring of the three-phase induction motor using wireless sensor networks (WSN) to measure the temperature and the vibration signals. The sensor nodes are placed on the rotor and the stator. The data acquisition is accomplished at a base station located at a distance of 6 feet. Issues related to electromagnetic interference between the wireless devices and the magnetic fields present within the motor are investigated.
A Three-Phase Top-k Query Based Distributed Data Collection Scheme in Wireless Sensor Networks
