为了提升汽车维修行业多价值链之间的协同效率，本文设计了一种基于用户描述的汽车故障辅助推断方法。可以有效改善传统汽车故障维修流程中客户到店等待时间长，维修效率低的现象。在本文的研究中，以用户对故障现象的描述为依据，利用自然语言处理的相关技术实现了对汽车故障的辅助推断和定位。在本文的研究过程中，首先，对收集到的用户描述语料进行标准化处理和存储，构建故障案例库。之后，为了提升汽车领域分词的准确性，构建了

国家基础学科公共科学数据中心100

Activa 6G BS-VI Engine Audio Dataset: Healthy and Defective Samples

汽车故障诊断

音频信号分析

Engine condition monitoring traditionally relies oninvasive sensor diagnostics and periodic servicing. This paperpresents a comprehensive, non-invasive acoustic-based approachusing multiple advanced s

IEEE50

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牙科材料

机械性能分析

Raw data including DMTA dental surface scans of different experiments.

DataCite Commons2021-12-12 更新110

Data from: Selection for mechanical advantage underlies multiple cranial optima in new world leaf-nosed bats

生物形态学

机械性能分析

Selection for divergent performance optima has been proposed as a central mechanism underlying adaptive radiation. Uncovering multiple optima requires identifying forms associated with different adapt

DataONE2014-01-08 更新80

Mechanical Datasets

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