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primary topic: Impulsive Vibrations Detection for Manufacturing Machines Using Machine Learning

Impulsive Vibrations Detection for Manufacturing Machines Using Machine Learning
type: AcademicArticle
type: Article
abstract: Manufacturing machines, especially those without computational capabilities, often require technicians to calibrate the machines to ensure the production line operates optimally. During the calibration process, there are times when the machine experiences transient faults, whose manual monitoring becomes unpractical and cost ineffective. In some cases, the machine's vibrations have regular beats, but when faults occur, there will be impulsive vibrations. This work addresses these cases and proposes a novel approach to detect packaging faults through monitoring the vibration of the machine by detecting impulsive vibrations from a series of beat vibrations. The novelty of the proposed solution is that it does not require calibration or fine-tuning. It uses Neural Basis Expansion Analysis for Time Series (N-BEATS) to learn and predict the beat vibration tempo. It detects impulsive vibrations by comparing incoming vibrations with the predicted beat using Spearman's rank correlation coefficient. Experimental results are promising, showing that the approach can achieve 97 accuracy in detecting impulsive vibrations. © 2025 IEEE.
date: 2025
is part of: Conference Record - IEEE Instrumentation and Measurement Technology Conference
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ConferenceItemEPrint
is part of: repository

Institute of Electrical and Electronics Engineers Inc.
type: Organization

Conference Record - IEEE Instrumentation and Measurement Technology Conference
type: Collection
issn: 10915281

Boonyaik Yaik Ooi
type: Person
given name: Boonyaik Yaik
family name: Ooi

Kh'Ng Xin Yi
type: Person
given name: Kh'Ng Xin
family name: Yi

W. L. Beh
type: Person
given name: W. L.
family name: Beh

Shervin Shirmohammadi
type: Person
given name: Shervin
family name: Shirmohammadi

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primary topic: Impulsive Vibrations Detection for Manufacturing Machines Using Machine Learning