IoT based intelligent system for fault detection and diagnosis in domestic appliances
Domestic appliances normally used on daily basis are gradually transitioning into the third internet wave, the internet of things. Usually, the end user is the only qualified actor to identify poor performance of these appliances. Moreover, such bad performance only comes to attention in extreme cases, when the appliance is not functioning anymore. This work describes an intelligent, low cost system, which monitors the behavior of electrical magnitudes of domestic appliances in real time. The system is able to analyze the collected data, detect possible faults, and report this situation to the user. An IoT device, designed to be adapted to any old generation consumer electronic device, is part of the proposed system. The complete system is able to identify instant faults, as well as, predict the need for preventive maintenance. The user interface makes use of digital TV, mobile devices, or conventional computers to warn householders about necessary interventions.
2016 IEEE 6th International Conference on Consumer Electronics Berlin (ICCE Berlin)