摘要
汽车发动机是车辆的核心组件之一,传统的发动机故障诊断方法通常依赖于传感器数据和物理模型,但是传感器安装、维护和校准,以及开发和维护物理模型都需要相当大的成本投入,并且数据融合和复杂的数学模型,难以适应不同车型、驾驶条件和环境变化,可能导致在某些情况下诊断不准确。该文系统论述了基于音频特征的汽车发动机状况识别技术及相关方法,完善基于音频特征的汽车发动机状况识别技术的理论研究。研究成果将为汽车领域的从业者和研究者提供理论指导,推动汽车发动机故障诊断领域的发展和创新。
The automotive engine is one of the core components of a vehicle,and traditional engine fault diagnosis meth-ods usually rely on sensor data and physical models,but the installation,maintenance and calibration of sensors,and development and maintenance of physical models require considerable cost investment,and data fusion and complex mathematical models are difficult to adapt to different vehicle models,driving conditions,and environmental changes,which may lead to inaccurate diagnosis in some cases.In this paper,the technology and related methods of automobile engine condition recognition based on audio features are systematically discussed,and the theoretical research of automo-bile engine condition recognition technology based on audio features is improved.The research results will provide theo-retical guidance for practitioners and researchers in the automotive field,and promote the development and innovation in the field of automotive engine fault diagnosis.
作者
李晨玉
LI Chenyu(Tianjin Binhai Vocational Institute of Automotive Engineering,Tianjin 300352,China)
出处
《农机使用与维修》
2024年第1期38-42,共5页
Agricultural Machinery Using & Maintenance
关键词
音频特征
发动机状况识别
机器学习
支持向量机
深度学习
audio features
engine condition identification
machine learning
support vector machine
deep learning
