Outlier Detection and Decision Tree for Wireless Sensor Network Fault Diagnosis

Irfanur Ilham Febriansyah, Whika Cahyo Saputro, Galih Ridha Achmadi, Fadila Arisha, Dara Tursina, Baskoro Adi Pratomo, Ary Mazharuddin Shiddiqi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Wireless Sensor Network (WSN) has been used in the industrial world and the household. The increasing number of WSN-based smart home devices requires intensive monitoring and automation. Problems may arise when a fault occurs on these devices that result in misinterpretation of the data received. Existing approaches to fault detection and diagnosis have led to the development of fault diagnosis methods for large-scale data. One of the effective methods for fault diagnosis is the Multi-Scale Principal Component Analysis (MSPCA). This research implements a combination of MSPCA and Decision Tree to detect fault data and diagnose the type of fault cause. The classification of faults is based on significant changes in temperature, humidity, light, voltage, as measured from the Normal Profile extracted by the MSPCA. Experiment results showed that our method was able to determine faults with an accuracy score of 0.913.

Original languageEnglish
Title of host publicationProceedings of 2021 13th International Conference on Information and Communication Technology and System, ICTS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages56-61
Number of pages6
ISBN (Electronic)9781665440592
DOIs
Publication statusPublished - 2021
Event13th International Conference on Information and Communication Technology and System, ICTS 2021 - Virtual, Online, Indonesia
Duration: 20 Oct 202121 Oct 2021

Publication series

NameProceedings of 2021 13th International Conference on Information and Communication Technology and System, ICTS 2021

Conference

Conference13th International Conference on Information and Communication Technology and System, ICTS 2021
Country/TerritoryIndonesia
CityVirtual, Online
Period20/10/2121/10/21

Keywords

  • Decision Tree
  • Fault Diagnosis
  • Multi-scale PCA
  • Normal Profile
  • Outlier Detection
  • Wireless Sensor Networks

Fingerprint

Dive into the research topics of 'Outlier Detection and Decision Tree for Wireless Sensor Network Fault Diagnosis'. Together they form a unique fingerprint.

Cite this