EV Starter Motor Fault Detection Using DWT Skewness and Kurtosis 核心 · 已核验

atlas:ev-starter-motor-fault-detection-using-dwt-skewness-and-kurtosis

"The present paper proposes a new diagnostic technique for determining short circuit conditions in automobile starter motor armature coils by computing the skewness and kurtosis of current waveforms filtered by wavelet transform. Using MATLAB Simulink, we developed a model to simulate an automobile system with incremental inter-turn errors in the starter motor, enabling the acquisition and analysis of signals at different fault stages using discrete wavelet transform (DWT). This method diagnoses faults early in the transient anomalies by analyzing signals in different resolutions. The skewness and kurtosis of wavelet coefficients, essential for fault diagnosis, provide critical information for distinguishing normal, pre-fault, and fault states. This new diagnostic approach enhances the precision of problem identification, improving safety and dependability in automotive repair. "

落地页
https://ieee-dataport.org/documents/ev-starter-motor-fault-detection-using-dwt-skewness-and-kurtosis
许可证
CC-BY-4.0 (判读置信:未知)
国内可访问性
国内直连:可达 (2026-07-11 检测) 代理通道:可达 (2026-07-11 检测)
检测口径:lychee 双通道单轮探测;「直连超时」表示检测窗口内未完成,系慢或不稳定证据,不构成封锁证据。
发布年份
2025
发布方
IEEE DataPort
设备类型
dc_motor
PHM 任务
fault_detection

分发点

ieee_dataport https://ieee-dataport.org/documents/ev-battery-degradation-skewness-kurtosis DataCite 记录 doi:10.21227/0sxd-ha65 落地页(标题错配'EV Battery Degradation',内容即本数据集起动机仿真);并卡自候选卡(2026-07-10 用户裁决)

故障工况

description: 电枢线圈短路(Simulink 仿真)fault_type: stator_winding_faultinduction: simulated_synthetic

传感器

sensor_type: current_sensorobserved_property: electric_current
溯源(PROV,9 条)
source_citation: curation/dataset-shortlist-v0.yaml(mech_oam_hub#131)retrieved_on: 2026-07-08asserted_by: automated_harvestnote: 由清单条目初始化的最小候选卡
about_field: description,publisher,publication_yearsource_url: https://api.datacite.org/dois/10.21227/r41x-k977retrieved_on: 2026-07-08asserted_by: automated_harvestnote: DataCite REST 元数据回填;仅填空字段,人工值不覆盖
about_field: taskssource_citation: facet-batch-01.yamlretrieved_on: 2026-07-08asserted_by: automated_extractionnote: 代理归纳刻面(依据:名称:EV 起动电机故障检测);候选区,晋升需人工核验
about_field: fault_conditions,sensorssource_citation: facet-batch-02.yamlretrieved_on: 2026-07-08asserted_by: automated_extractionnote: 代理归纳刻面(依据:描述:电流波形+Simulink);候选区,晋升需人工核验
about_field: source_citation: 人工核验:zfbin(委托批准 2026-07-10)retrieved_on: 2026-07-10asserted_by: human_curatorconfidence_level: human_verifiednote: 晋升核心区。晋升批次 07:KLS-012 系历史卡,逐卡逐断言对照自述核验(evidence/KLS-016/11)
about_field: equipment_typessource_citation: 人工核验:zfbin(词表修订拍板 2026-07-10)retrieved_on: 2026-07-10asserted_by: human_curatorconfidence_level: human_verifiednote: 人工改写。词表回填 equipment=dc_motor(automobile starter motor)
about_field: distributionssource_citation: 人工核验:zfbin(四问拍板 2026-07-10)retrieved_on: 2026-07-10asserted_by: human_curatorconfidence_level: human_verifiednote: 人工改写。并卡增量:副本/镜像卡的 alt 分发点并入(2026-07-10 用户裁决,详见各条目 access_note)
about_field: china_accessibilitysource_citation: KLS-009 链接健康扫描(lychee 双通道)retrieved_on: 2026-07-11asserted_by: automated_harvestnote: 定期刷新标注,仅覆盖本字段;历史结果以最新扫描为准
about_field: license_idsource_citation: 人工核验:zfbin(三问拍板 2026-07-11)retrieved_on: 2026-07-11asserted_by: human_curatorconfidence_level: human_verifiednote: 人工改写。license 记法归一 cc-by-4.0 → CC-BY-4.0(SPDX 规范 id,ADR-25 清账①,2026-07-11 用户拍板;许可语义不变)