Empirical analysis of machine learning models for predicting equipment failures using IoT sensor data

Yusuf Shodiyevich Avazov

Кимёвий технология. Назорат ва бошқарув · 2025-yil

Annotatsiya

This article examines the problem of detecting and predicting industrial equipment faults using IoT sensor data through machine learning techniques. Sensor readings such as temperature, vibration, pressure, voltage, and current, as well as FFT-based features, were statistically analyzed. Class imbalance and low signal informativeness were identified as key factors limiting model accuracy. Results obtained from Logistic Regression, Random Forest, and XGBoost models were comparatively evaluated, showing that when ROC-AUC values remain around 0.5, distinguishing fault and non-fault states becomes challenging. Correlation and feature-importance analyses confirmed the absence of strong dominant indicators. The findings highlight the need to improve sensor architecture and apply targeted feature engineering techniques. This study demonstrates that in predictive maintenance, data quality is more critical than model complexity.

Maqola ma’lumotlari
MualliflarYusuf Shodiyevich Avazov
JurnalКимёвий технология. Назорат ва бошқарув
NashriyotТошкент давлат техника университети, «Ўзқурилишматериаллар» ДАК, «Ўзкимёсаноат» ДАК, «Совпластитал» ҚҚ, Ўзбекистон Интеллектуал мулк агентлиги
ISSN2181-1105, 1815-4840
Nashr sanasi2025-12-28
Jild2025
Son6
Betlar81-93
TilIngliz
Ilmiy sohaTexnika
DOI10.59048/2181-1105.1749
Indeksga qo‘shilgan2026-09-02

DOI: 10.59048/2181-1105.1749 · Maqolaning asl sahifasi

Ilmiy soha

Texnika

Iqtibos keltirish

APAYusuf Shodiyevich Avazov (2025). EMPIRICAL ANALYSIS OF MACHINE LEARNING MODELS FOR PREDICTING EQUIPMENT FAILURES USING IoT SENSOR DATA. Кимёвий технология. Назорат ва бошқарув, 2025(6), 81-93. https://doi.org/10.59048/2181-1105.1749
GOST (OAK)Yusuf Shodiyevich Avazov EMPIRICAL ANALYSIS OF MACHINE LEARNING MODELS FOR PREDICTING EQUIPMENT FAILURES USING IoT SENSOR DATA // Кимёвий технология. Назорат ва бошқарув. – 2025. – T. 2025, № 6. – P. 81-93. – DOI: 10.59048/2181-1105.1749.
MLAYusuf Shodiyevich Avazov. “EMPIRICAL ANALYSIS OF MACHINE LEARNING MODELS FOR PREDICTING EQUIPMENT FAILURES USING IoT SENSOR DATA.” Кимёвий технология. Назорат ва бошқарув, 2025(6), 81-93, 2025. https://doi.org/10.59048/2181-1105.1749
ChicagoYusuf Shodiyevich Avazov. “EMPIRICAL ANALYSIS OF MACHINE LEARNING MODELS FOR PREDICTING EQUIPMENT FAILURES USING IoT SENSOR DATA.” Кимёвий технология. Назорат ва бошқарув, 2025(6), 81-93 (2025). https://doi.org/10.59048/2181-1105.1749
HarvardYusuf Shodiyevich Avazov (2025) ‘EMPIRICAL ANALYSIS OF MACHINE LEARNING MODELS FOR PREDICTING EQUIPMENT FAILURES USING IoT SENSOR DATA’, Кимёвий технология. Назорат ва бошқарув, 2025(6), 81-93. https://doi.org/10.59048/2181-1105.1749
BibTeX
@article{yusufshodiyevichavazov2025,
  title = {EMPIRICAL ANALYSIS OF MACHINE LEARNING MODELS FOR PREDICTING EQUIPMENT FAILURES USING IoT SENSOR DATA},
  author = {Yusuf Shodiyevich Avazov},
  journal = {Кимёвий технология. Назорат ва бошқарув},
  year = {2025},
  volume = {2025},
  number = {6},
  pages = {81-93},
  doi = {10.59048/2181-1105.1749},
  url = {https://doi.org/10.59048/2181-1105.1749}
}

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