Detecting the crankshaft torsional vibration of diesel engines for combustion related diagnosis
Detecting the crankshaft torsional vibration of diesel engines for combustion related diagnosis
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DOI：
10.1016/j.jsv.2008.10.024
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发表时间：
2009-04-10
影响因子：
4.7
通讯作者：
Ball, A. D.
中科院分区：
文献类型：
--
作者：
Charles, P.;Sinha, Jyoti K.;Ball, A. D.
中速柴油机的早期故障检测和诊断对于确保其整个服务过程中的可靠运行非常重要。研究了曲轴扭振对柴油机燃烧相关故障的检测能力。通常用于轴转速测量的编码器信号已被用于构造瞬时角速度（IAS）波形，其实际上代表扭转振动的特征。早期的研究表明，IAS信号及其快速傅立叶变换（FFT）分析对于监控少于八缸的发动机是有效的。然而，由于气缸数量多和转动惯量大，对中速发动机的适用性存在强烈争议。因此，基于FFT的方法的有效性已被进一步增强，通过改进的信号处理，以确定IAS信号，并随后在16缸发动机上进行了测试。此外，一种新的方法的介绍，基于极坐标系的IAS信号，也已被引入，以提高故障的鉴别功能相比，基于FFT的方法的JAS信号。本文讨论了16缸和20缸发动机有故障和无故障的两个典型试验研究，以及所提出的极坐标表示法的诊断结果。结果也进行了比较，与早期的基于FFT的方法的IAS信号。(C)2008爱思唯尔有限公司保留所有权利。
Early fault detection and diagnosis for medium-speed diesel engines is important to ensure reliable operation throughout the course of their service. This work presents an investigation of the diesel engine combustion related fault detection capability of crankshaft torsional vibration. The encoder signal, often used for shaft speed measurement, has been used to construct the instantaneous angular speed (IAS) waveform, which actually represents the signature of the torsional vibration. Earlier studies have shown that the IAS signal and its fast Fourier transform (FFT) analysis are effective for monitoring engines with less than eight cylinders. The applicability to medium-speed engines, however, is strongly contested due to the high number of cylinders and large moment of inertia. Therefore the effectiveness of the FFT-based approach has further been enhanced by improving the signal processing to determine the IAS signal and subsequently tested on a 16-cylinder engine. In addition, a novel method of presentation, based on the polar coordinate system of the IAS signal, has also been introduced; to improve the discrimination features of the faults compared to the FFT-based approach of the JAS signal. The paper discusses two typical experimental studies on 16- and 20-cylinder engines, with and without faults, and the diagnosis results by the proposed polar presentation method. The results were also compared with the earlier FFT-based method of the IAS signal. (C) 2008 Elsevier Ltd. All rights reserved.