[Applicable Case] Noise Inspection for Electric Assist Bicycle Drive Unit
The use of the abnormal sound inspection device allows for the quantitative detection of products that emit sounds different from normal ones!
Our "Noise Inspection Device" utilizes an inspection algorithm based on the Maharano Vista Guchi method to automatically and quantitatively inspect the quality of sound and vibration. We would like to introduce a case where the "Noise Inspection Device" was applied to the noise inspection of drive units for electric assist bicycles. Previously, during post-assembly inspections, operators would listen to sounds to make judgments. However, by using this device, it is possible to quantitatively detect products that emit sounds different from normal ones. [Case Study] ■ Challenges - In electric assist bicycles, the occurrence of abnormal sounds during use greatly affects product value and can lead to complaints. - Previously, operators judged sounds during post-assembly inspections. ■ Application Results - By using the noise inspection device, it is possible to quantitatively detect products that emit sounds different from normal ones. *For more details, please refer to the PDF document or feel free to contact us.
basic information
【Abnormal Sound Inspection Device Features】 ■ Realizes quantification and measurement through inspection algorithm based on the Maharano Vista Guchi method ■ Achieves stable detection and prevents the outflow of defective products through automation ■ Easy setup as inspection standards can be created using data from only 40 good products ■ Measurement data of sound and vibration stored in the device can be used for alignment with customers *For more details, please refer to the PDF document or feel free to contact us.
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Applications/Examples of results
For more details, please refer to the PDF document or feel free to contact us.