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Published on: May 30, 2020
Ventilation Diagnosis of Angle Grinder Using Thermal Imaging.
1Department of Automatic Control and Robotics, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology, 30-059 Kraków, Poland.
This study introduces a novel infrared thermography method for diagnosing angle grinder faults. The technique achieves over 98.5% accuracy in identifying healthy and malfunctioning tools, enabling effective fault diagnosis.
Area of Science:
- Engineering
- Materials Science
- Computer Science
Background:
- Angle grinders are essential power tools, but their working condition monitoring is crucial for safety and efficiency.
- Traditional fault diagnosis methods can be time-consuming and may require disassembly.
- Infrared (IR) thermography offers a non-contact method for assessing thermal signatures of operating machinery.
Purpose of the Study:
- To develop and validate an innovative IR image processing method for evaluating angle grinder working conditions.
- To classify angle grinders into healthy and faulty states based on thermal image features.
- To demonstrate the effectiveness of the proposed method for automated fault diagnosis.
Main Methods:
- An innovative method, Binarized Common Areas of Maximum Image Differences-Fusion (BCAoMID-F), was developed for feature extraction from thermal images.
- Feature vectors were generated using methods such as sum of pixels, Principal Component Analysis (PCA), or histogram of matrix V.
- Support Vector Machine (SVM) and Nearest Neighbor classifiers were employed for fault classification.
Main Results:
- The BCAoMID-F method successfully extracted relevant features from thermal images of angle grinders under different conditions.
- Feature vectors were classified with high accuracy, achieving a total recognition efficiency (TR) between 98.5% and 100% for three distinct classes.
- The method demonstrated robustness in distinguishing between a healthy angle grinder and those with one or two blocked air inlets.
Conclusions:
- The proposed IR thermography and image processing technique provides an efficient and accurate approach for the fault diagnosis of angle grinders.
- This method holds potential for broader application in the condition monitoring and fault diagnosis of various electrical devices and power tools.
- The BCAoMID-F method represents a significant advancement in non-destructive testing for industrial equipment.
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