The invention discloses a brake system fault judgment method and device, a terminal and a medium, and belongs to the technical field of brake system fault judgment, and the method comprises the steps: collecting the real-time operation data of a vehicle brake system, and carrying out the preprocessing of the real-time operation data to obtain a real-time operation data set; and substituting the real-time operation data set into an optimal immune algorithm model, and performing fault diagnosis and prediction by using the immune algorithm model. The method can achieve the accurate diagnosis and prediction of the fault of the vehicle brake system, improves the stability and reliability of the system, and achieves the beneficial effects of improving the fault diagnosis accuracy, enhancing the stability of the system, improving the prediction capability, and the like. According to the whole technical scheme, the steps of data processing, model construction, fault diagnosis, optimization and the like are clearly described, so that common technicians can understand and realize the technical content, and the integrity and operability of the technical scheme are ensured.
本发明公开了一种制动系统故障判断方法、装置、终端及介质,属于制动系统故障判断技术领域,包括采集车辆报制动系统的实时运行数据,并对其进行预处理得到实时运行数据集;将所述实时运行数据集带入最佳免疫算法模型中,利用所述免疫算法模型进行故障进行诊断和预测。本发明可以实现对车辆报制动系统故障的准确诊断和预测,提高系统的稳定性和可靠性,从而带来故障诊断准确性提高、系统稳定性增强和预测能力提高等有益效果。整个技术方案清晰地描述了数据处理、模型构建、故障诊断和优化等步骤,使得普通技术人员能够理解并实现该技术内容,确保了技术方案的完整性和可操作性。
Braking system fault judgment method and device, cloud terminal and cloud server
一种制动系统故障判断方法、装置、云终端及云服务器
2024-08-09
Patent
Electronic Resource
Chinese
IPC: | B60T Bremsanlagen für Fahrzeuge oder Teile davon , VEHICLE BRAKE CONTROL SYSTEMS OR PARTS THEREOF / B60R Fahrzeuge, Fahrzeugausstattung oder Fahrzeugteile, soweit nicht anderweitig vorgesehen , VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
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