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Quality evaluation of car window motors using sound quality metrics

机译:使用声音质量指标对车窗电机进行质量评估

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摘要

In this paper, a method to establish a decision criterion to evaluate the quality of small window motors using sound quality (SQ) metrics is suggested. Although the sound level radiated from the motor is relatively small compared to other sounds in a car, the sound from an abnormal motor gives an uncomfortable feeling and the impression of abnormal operation, which can lead to customer complaints. To construct an objective decision criterion, the correlation between the SQ metrics and the subjective decision on the passing or failure of the motor were investigated. Four representative SQ metrics, viz., loudness, sharpness, roughness, and fluctuation strength, were calculated for the collected samples. It was observed that the loudness and roughness of the motor sample group classified as abnormal was higher than those of the normal motors. For a single figure rating for motor quality, an evaluation index for the motor sound was generated by combining the correlated SQ metrics with proper weightings. Evaluation results on the specimens that were not employed in generating the quality evaluation index showed a reasonable agreement with the subjective test at 73%. The suggested quality check method can replace the current subjective decision procedure to identify the faulty motors.
机译:本文提出了一种建立使用声音质量(SQ)指标评估小窗电机质量的决策标准的方法。尽管与汽车中的其他声音相比,从电动机发出的声音水平相对较小,但是来自异常电动机的声音会给人不舒服的感觉,并给人一种不正常操作的印象,这可能会引起客户投诉。为了构建客观的决策标准,研究了SQ指标与电机通过或失败的主观决策之间的相关性。为收集的样本计算了四个代表性的SQ指标,即响度,清晰度,粗糙度和波动强度。观察到,被分类为异常的电动机样本组的响度和粗糙度高于正常电动机。对于单个数字的电动机质量等级,通过将相关的SQ指标与适当的权重相结合,生成了电动机声音的评估指标。未用于生成质量评估指标的样本的评估结果与主观测试的合理一致性为73%。建议的质量检查方法可以替代当前的主观决策程序,以识别出故障的电动机。

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