Info: Zenodo’s user support line is staffed on regular business days between Dec 23 and Jan 5. Response times may be slightly longer than normal.

Published December 6, 2019 | Version v1
Journal article Open

Fault Detection and Reporting System for Devices Used in Homes and Corporate Offices

  • 1. PG Student, Department of Computer Science Engineering, WIT, Punyashlok Ahilyadevi Holkar Solapur University, Solapur, Maharashtra, India
  • 2. Associate Professor, Department of Computer Science Engineering, WIT, Punyashlok Ahilyadevi Holkar Solapur University, Solapur, Maharashtra, India

Description

In today’s electronic world, humans are dependent on electronic devices. These electronic devices are having greater impact if some of those does not work correctly at required situations. The number of devices being used in homes and corporate offices is quite big. If same amount of devices fails, then it causes high amount of wastage of time and cost required for maintenance of such faulty devices or to replace those devices. Therefore, there is a need arises to maintain the devices into proper working states. To know status of all devices, they need to be observed. It is possible to detect faults by comparing the behavior of the device against a reference. Here, we use sensor data analysis to identify faulty devices using clustering techniques for selecting the action against a fault or failure.

Files

(32-37)Fault Detection and Reporting.pdf

Files (184.5 kB)

Name Size Download all
md5:1e6e23d839c5faebc4f74d562fa79241
184.5 kB Preview Download

Additional details

References

  • Jorge C Seabra, Mário A Costa Jr., Mateus M Lucena (2016), "IoT based intelligent system for fault detection and diagnosis in domestic appliances", IEEE, Berlin, Germany
  • Pravesh Kumar, Shilpi Kain (2018), "Smart community maintenance ecosystem with self-reporting and self-diagnostic IoT sensors", IEEE, Mumbai, India
  • Junghee Lee, Monobrata Debnath, Amit Patki, Mostafa Hasan, Chrysostomos Nicopoulos (2018), "Hardware-based online self-diagnosis for faulty device identification in large-scale IoT systems", IEEE, Orlando, FL, USA
  • Timo Niemirepo, Markus Sihvonen, Vesa Jordan, Juhani Heinilä (2015), "Service platform for automated IOT service provisioning", ICIMS, Blumenau, Brazil
  • Gaoming Shi, Guanghua Yuan, Xuanlong Chen, Zhenfeng Xie, Cheng Chen (2018), "Case study of no fault founds in household appliances", ICEPT, Shanghai, China

Subjects