ScaloAdaptAlert, a novel framework for supervised anomaly detection in industrial acoustic data, integrating power scalograms, adaptive filter banks, and convolutional neural networks — A case study

Mohammadali Zakeriharandi; Lin Tzu-Yuan; Chen LI; Sigurd L. Villumsen; Maani Ghaffari; Ole Madsen

doi:https://www.sciencedirect.com/science/article/pii/S0278612525000159

ScaloAdaptAlert, a novel framework for supervised anomaly detection in industrial acoustic data, integrating power scalograms, adaptive filter banks, and convolutional neural networks — A case study

Mohammadali Zakeriharandi, Lin Tzu-Yuan, Chen LI, Sigurd L. Villumsen, Maani Ghaffari, Ole Madsen

Research output: Contribution to journal › Journal article › Research › peer-review

Original language	English
Journal	Journal of Manufacturing Systems
Volume	79
ISSN	0278-6125
DOIs	https://doi.org/https://www.sciencedirect.com/science/article/pii/S0278612525000159
Publication status	Published - Apr 2025

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Zakeriharandi, M., Tzu-Yuan, L., LI, C., L. Villumsen, S., Ghaffari, M., & Madsen, O. (2025). ScaloAdaptAlert, a novel framework for supervised anomaly detection in industrial acoustic data, integrating power scalograms, adaptive filter banks, and convolutional neural networks — A case study. Journal of Manufacturing Systems, 79. https://doi.org/https://www.sciencedirect.com/science/article/pii/S0278612525000159

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title = "ScaloAdaptAlert, a novel framework for supervised anomaly detection in industrial acoustic data, integrating power scalograms, adaptive filter banks, and convolutional neural networks — A case study",

author = "Mohammadali Zakeriharandi and Lin Tzu-Yuan and Chen LI and {L. Villumsen}, Sigurd and Maani Ghaffari and Ole Madsen",

year = "2025",

month = apr,

doi = "https://www.sciencedirect.com/science/article/pii/S0278612525000159",

language = "English",

volume = "79",

journal = "Journal of Manufacturing Systems",

issn = "0278-6125",

publisher = "Elsevier",

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Zakeriharandi, M, Tzu-Yuan, L, LI, C, L. Villumsen, S, Ghaffari, M & Madsen, O 2025, 'ScaloAdaptAlert, a novel framework for supervised anomaly detection in industrial acoustic data, integrating power scalograms, adaptive filter banks, and convolutional neural networks — A case study', Journal of Manufacturing Systems, vol. 79. https://doi.org/https://www.sciencedirect.com/science/article/pii/S0278612525000159

ScaloAdaptAlert, a novel framework for supervised anomaly detection in industrial acoustic data, integrating power scalograms, adaptive filter banks, and convolutional neural networks — A case study. / Zakeriharandi, Mohammadali; Tzu-Yuan, Lin; LI, Chen et al.
In: Journal of Manufacturing Systems, Vol. 79, 04.2025.

Research output: Contribution to journal › Journal article › Research › peer-review

TY - JOUR

T1 - ScaloAdaptAlert, a novel framework for supervised anomaly detection in industrial acoustic data, integrating power scalograms, adaptive filter banks, and convolutional neural networks — A case study

AU - Zakeriharandi, Mohammadali

AU - Tzu-Yuan, Lin

AU - LI, Chen

AU - L. Villumsen, Sigurd

AU - Ghaffari, Maani

AU - Madsen, Ole

PY - 2025/4

Y1 - 2025/4

U2 - https://www.sciencedirect.com/science/article/pii/S0278612525000159

DO - https://www.sciencedirect.com/science/article/pii/S0278612525000159

M3 - Journal article

SN - 0278-6125

VL - 79

JO - Journal of Manufacturing Systems

JF - Journal of Manufacturing Systems

ER -

Zakeriharandi M, Tzu-Yuan L, LI C, L. Villumsen S, Ghaffari M, Madsen O. ScaloAdaptAlert, a novel framework for supervised anomaly detection in industrial acoustic data, integrating power scalograms, adaptive filter banks, and convolutional neural networks — A case study. Journal of Manufacturing Systems. 2025 Apr;79. doi: https://www.sciencedirect.com/science/article/pii/S0278612525000159