论文标题
调查板外和车外监测和朝着普遍性诊断的进展
Surveying Off-Board and Extra-Vehicular Monitoring and Progress Towards Pervasive Diagnostics
论文作者
论文摘要
我们调查了车辆，其乘员和环境的校外诊断中的最新诊断，特别关注抗气声方法。我们确定有希望的应用领域，包括用于共享移动性和自动舰队的数据驱动管理，基于使用的保险以及车辆，居住者以及环境状态和状况监控。我们通过探索在车辆诊断和预后的特定应用来结束，并提出引入自动化车辆和上下文特定模型选择作为改善算法性能的一种手段，例如启用智能手机居民诊断。朝向这一愿景，将四个强大的相互依存分类器作为概念验证提供，用于识别来自声学特征的车辆配置。所描述的方法可能是开发“通用诊断”的第一步，其适用性超出了汽车领域。
We survey the state-of-the-art in offboard diagnostics for vehicles, their occupants, and environments, with particular focus on vibroacoustic approaches. We identify promising application areas including data-driven management for shared mobility and automated fleets, usage-based insurance, and vehicle, occupant, and environmental state and condition monitoring. We close by exploring the particular application of vibroacoustic monitoring to vehicle diagnostics and prognostics and propose the introduction of automated vehicle- and context-specific model selection as a means of improving algorithm performance, e.g. to enable smartphone-resident diagnostics. Towards this vision, four strong-performing, interdependent classifiers are presented as a proof-of-concept for identifying vehicle configuration from acoustic signatures. The described approach may serve as the first step in developing "universal diagnostics," with applicability extending beyond the automotive domain.
