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Automatic Evaluation of Internal Combustion Engine Noise Based on an Auditory Model
المؤلفون المشاركون
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-07-11
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
To improve the accuracy and efficiency of the objective evaluation of noise quality from internal combustion engines, an automatic noise quality classification model was constructed by introducing an auditory model-based acoustic spectrum analysis method and a convolutional neural network (CNN) model.
A band-pass filter was also designed in the model to automatically extract the features of the noise samples, which were later used as input data.
The adaptive moment estimation (Adam) algorithm was used to optimize the weights of each layer in the network, and the model was used to evaluate sound quality.
To evaluate the predictive performance of the CNN model based on the auditory input, a back propagation (BP) sound quality evaluation model based on psychoacoustic parameters was constructed and used as a control.
When processing the label values of the samples, the correlation between the psychoacoustic parameters of the objective evaluation and evaluation scores was analyzed.
Four psychoacoustic parameters with the greatest correlation with subjective evaluation results were selected as the input values of the BP model.
The results showed that the sound quality evaluation model based on the CNN could predict the sound quality of internal combustion engines more accurately, and the input evaluation score based on the auditory spectrum in the CNN classification model was more accurate than the short-time average energy input evaluation score based on the time domain.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liang, Kai& Zhao, Haijun. 2019. Automatic Evaluation of Internal Combustion Engine Noise Based on an Auditory Model. Shock and Vibration،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1211097
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Liang, Kai& Zhao, Haijun. Automatic Evaluation of Internal Combustion Engine Noise Based on an Auditory Model. Shock and Vibration No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1211097
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liang, Kai& Zhao, Haijun. Automatic Evaluation of Internal Combustion Engine Noise Based on an Auditory Model. Shock and Vibration. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1211097
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1211097
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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