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405709

Fault Detection for Medical Equipment by Electrical Signature Analysis

Article

Last updated: 20 Jan 2025

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Abstract

Medical equipment are critical and high cost components in the healthcare system. This paper presents an automatic fault detection system to increase reliability and efficient use of medical equipment. The system is implemented based on an embedded circuit that uses real-time, external and non-invasive electric current sensor to apply Electrical Current Signature Analysis (ECSA). The Root Mean Square (RMS) of the collected data were calculated, saved and analyzed. The system has been tested for two different models of medical equipment. Promising results were obtained from testing two types of laboratory equipment. The system was able to detect the occurrence of different faults during equipment use in several modes of operation.

DOI

10.21608/erjsh.2020.405709

Keywords

Medical equipment, Predictive Maintenance, Fault Detection, electrical current signature

Authors

First Name

E.

Last Name

Naguib

MiddleName

E.

Affiliation

Center for Advanced Software and Biomedical Engineering Consultations, Faculty of Engineering, Cairo University, Cairo, Egypt.

Email

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Orcid

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First Name

S.

Last Name

Fawzi

MiddleName

A.

Affiliation

Systems and Biomedical Engineering Department, Faculty of Engineering, Cairo University, Cairo, Egypt.

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Volume

44

Article Issue

1

Related Issue

34764

Issue Date

2020-04-01

Receive Date

2025-01-17

Publish Date

2020-04-01

Page Start

103

Page End

110

Print ISSN

3009-6049

Online ISSN

3009-6022

Link

https://erjsh.journals.ekb.eg/article_405709.html

Detail API

http://journals.ekb.eg?_action=service&article_code=405709

Order

405,709

Type

Research articles

Type Code

2,276

Publication Type

Journal

Publication Title

Engineering Research Journal (Shoubra)

Publication Link

https://erjsh.journals.ekb.eg/

MainTitle

Fault Detection for Medical Equipment by Electrical Signature Analysis

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Article

Created At

20 Jan 2025