Research on inverter fan fouling faults diagnosis based on SVM

With the widespread adoption of variable frequency speed control technology, inverters are extensively used to drive large mechanical equipment such as pumps, fans, and compressors. However, various faults can easily occur during actual operation, making it essential to conduct in-depth research on diagnostic methods for these faults. This manuscript first conducted an experiment on fan fouling faults in inverters, identified key characteristic parameters, and established a fault diagnosis model using a Support Vector Machine (SVM) model to diagnose fan fouling faults. The diagnostic results indicate that the SVM model provides effective diagnosis for fan fouling faults.

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Published
2025-04-18
DOI
https://doi.org/10.1117/12.3064181
Primary Topic
Advanced Algorithms and Applications
Type
article
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article

Research on inverter fan fouling faults diagnosis based on SVM

Longtao Qiu, Yunpeng Hu, Deer Liu, Yuqiang Fan
Advanced Algorithms and Applications
article

Research on inverter fan fouling faults diagnosis based on SVM

Longtao Qiu, Yunpeng Hu, Deer Liu, Yuqiang Fan
article en

Abstract

With the widespread adoption of variable frequency speed control technology, inverters are extensively used to drive large mechanical equipment such as pumps, fans, and compressors. However, various faults can easily occur during actual operation, making it essential to conduct in-depth research on diagnostic methods for these faults. This manuscript first conducted an experiment on fan fouling faults in inverters, identified key characteristic parameters, and established a fault diagnosis model using a Support Vector Machine (SVM) model to diagnose fan fouling faults. The diagnostic results indicate that the SVM model provides effective diagnosis for fan fouling faults.

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Advanced Algorithms and Applications
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