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Detecting Solenoid Valve Deterioration in In-Use Electronic Diesel Fuel Injection Control Systems

机译:检测在用电子柴油燃油喷射控制系统中的电磁阀劣化

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摘要

The diesel engine is the main power source for most agricultural vehicles. The control of diesel engine emissions is an important global issue. Fuel injection control systems directly affect fuel efficiency and emissions of diesel engines. Deterioration faults, such as rack deformation, solenoid valve failure, and rack-travel sensor malfunction, are possibly in the fuel injection module of electronic diesel control (EDC) systems. Among these faults, solenoid valve failure is most likely to occur for in-use diesel engines. According to the previous studies, this failure is a result of the wear of the plunger and sleeve, based on a long period of usage, lubricant degradation, or engine overheating. Due to the difficulty in identifying solenoid valve deterioration, this study focuses on developing a sensor identification algorithm that can clearly classify the usability of the solenoid valve, without disassembling the fuel pump of an EDC system for in-use agricultural vehicles. A diagnostic algorithm is proposed, including a feedback controller, a parameter identifier, a linear variable differential transformer (LVDT) sensor, and a neural network classifier. Experimental results show that the proposed algorithm can accurately identify the usability of solenoid valves.
机译:柴油发动机是大多数农用车辆的主要动力来源。柴油机排放的控制是一个重要的全球性问题。燃油喷射控制系统直接影响柴油机的燃油效率和排放。电子柴油控制(EDC)系统的燃油喷射模块中可能会出现诸如齿条变形,电磁阀故障和齿条行程传感器故障之类的劣化故障。在这些故障中,使用中的柴油机最有可能发生电磁阀故障。根据先前的研究,这种故障是由于长期使用,润滑剂降解或发动机过热而造成的柱塞和套筒磨损的结果。由于难以识别电磁阀的劣化,因此本研究着重于开发一种传感器识别算法,该算法可以清楚地对电磁阀的可用性进行分类,而无需拆卸用于使用中的农用车辆的EDC系统的燃油泵。提出了一种诊断算法,包括反馈控制器,参数标识符,线性可变差分变压器(LVDT)传感器和神经网络分类器。实验结果表明,该算法能够准确识别电磁阀的可用性。

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