The Design and Development of an Internet of Things-Based Condition Monitoring System for Industrial Rotating Machines

Paramasivam, Alagumariappan; Abimanyu, Jaya Prakash; Pittu, Pavan Sai Kiran Reddy; Vijayalakshmi, Sankaran; Kaushal Mayur, Mohana Krishnan

doi:10.3390/ecsa-10-16240

The 10th International Electronic Conference on Sensors and Applications 2023

DOI: 10.3390/ecsa-10-16240

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The Design and Development of an Internet of Things-Based Condition Monitoring System for Industrial Rotating Machines

Alagumariappan Paramasivam,

Jaya Prakash Abimanyu,

Pavan Sai Kiran Reddy Pittu

et al.

Abstract: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

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2024

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Impact of Measurement Uncertainty on Fault Diagnosis Systems: A Case Study on Electrical Faults in Induction Motors

Mari,

Bucci,

Ciancetta

et al. 2024

Sensors

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Classification systems based on machine learning (ML) models, critical in predictive maintenance and fault diagnosis, are subject to an error rate that can pose significant risks, such as unnecessary downtime due to false alarms. Propagating the uncertainty of input data through the model can define confidence bands to determine whether an input is classifiable, preferring to indicate a result of unclassifiability rather than misclassification. This study presents an electrical fault diagnosis system on asynchronous motors using an artificial neural network (ANN) model trained with vibration measurements. It is shown how vibration analysis can be effectively employed to detect and locate motor malfunctions, helping reduce downtime, improve process control and lower maintenance costs. In addition, measurement uncertainty information is introduced to increase the reliability of the diagnosis system, ensuring more accurate and preventive decisions.

show abstract

Impact of Measurement Uncertainty on Fault Diagnosis Systems: A Case Study on Electrical Faults in Induction Motors

Mari,

Bucci,

Ciancetta

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

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The Design and Development of an Internet of Things-Based Condition Monitoring System for Industrial Rotating Machines

Abstract: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

Cited by 1 publication

References 19 publications

Impact of Measurement Uncertainty on Fault Diagnosis Systems: A Case Study on Electrical Faults in Induction Motors

Impact of Measurement Uncertainty on Fault Diagnosis Systems: A Case Study on Electrical Faults in Induction Motors

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