Diagnostic Methodology of the Low Displacement Diesel Engine Vibration Signal for Identification of Operating Conditions

2021 ◽  
Vol 9 (4) ◽  
pp. 217
Author(s):  
Edwin Espinel ◽  
Gaudy Prada ◽  
Jhan Piero Rojas
Author(s):  
Y Zhang ◽  
Z. P. Zhang ◽  
Y. C. Zhou

In this paper the fuzzy and dynamic monitoring of mechanical equipment is studied using fuzzy techniques. Generally there are two types of condition monitoring: one is that the standard syndrome can be established in advance and, therefore, the fault samples can be identified by this; the other is that the standard syndrome is difficult to establish in advance, and information only about the operation condition of the mechanical equipment is needed. For the former the measure of fuzzy nearness can be used without using a series of weights for the characteristic parameters; for the latter the fuzzy cluster can be used without the standard syndrome. The vibration signal samples obtained from the 190A diesel engine block are identified and classified by the fuzzy measures. The results show that the fuzzy nearness and fuzzy cluster are practical and work well.


2012 ◽  
Vol 239-240 ◽  
pp. 430-433 ◽  
Author(s):  
Chao Ming Huang ◽  
Ping Zhang ◽  
Hong Liang Yu

A method which can be used to analyze and separate the vibration signals of diesel engine is proposed. The vibration signals contain a great deal of information about the engine’s fault state, and it is hard to obtain the fault characteristic parameters because of the complex mechanical movement and operating conditions. Study on vibration by fourth order blind identification is carried out in this paper. And FOBI model that estimate the separation matrix by independent component analysis is established and applied to diesel engine vibration to separate the different signals. The results show that signals of different characteristics can be separated perfectly. This method can be used as the pre-processing step to obtain the fault characteristic parameters.


2013 ◽  
Vol 753-755 ◽  
pp. 2135-2138
Author(s):  
Jing Yi Tian ◽  
Ye Yang ◽  
Si Zhang ◽  
Wen Jing Zhao

To get an effective way of monitoring the diesel engine vibration signal, the author puts forward an optimized method based on rough set attribute dependency. Decision table formed by different data collection form, their decision attribute dependence of condition is different, by comparing the different points of attribute dependence and take it as the quality criteria of measuring points, we can realize the optimization of measuring points. Take a high power diesel engine as an example, the site of rough set theory are used to calculate the typical attribute dependence, the results show that the method can effectively distinguish between different measuring point position and the sensitive degree of different fault types, the vibration signal monitoring position, with better effect is obtained at the same time reducing the effects of noise on fault diagnosis, to improve the accuracy and efficiency of fault diagnosis.


Author(s):  
P Zhou ◽  
H Li ◽  
D Clelland

This article introduces a novel pattern recognition and fault diagnosis method for diesel engines. The method is developed from engine vibration signal analysis in combination with wavelet and Kullback-Leibler distance (KLD) approaches. The new approach is termed wavelet Kullback-Leibler distance (WKLD). Experimental data relating to piston and cylinder liner wear obtained from a production diesel engine are used to evaluate the newly developed method. A good agreement between the experimental data and the WKLD estimation is found. The results of this article suggest that WKLD is an advancement on the methods which have been currently developed for pattern recognition and fault diagnosis of diesel engines.


Author(s):  
Dimitrios T. Hountalas ◽  
Spiridon Raptotasios ◽  
Antonis Antonopoulos ◽  
Stavros Daniolos ◽  
Iosif Dolaptzis ◽  
...  

Currently the most promising solution for marine propulsion is the two-stroke low-speed diesel engine. Start of Injection (SOI) is of significant importance for these engines due to its effect on firing pressure and specific fuel consumption. Therefore these engines are usually equipped with Variable Injection Timing (VIT) systems for variation of SOI with load. Proper operation of these systems is essential for both safe engine operation and performance since they are also used to control peak firing pressure. However, it is rather difficult to evaluate the operation of VIT system and determine the required rack settings for a specific SOI angle without using experimental techniques, which are extremely expensive and time consuming. For this reason in the present work it is examined the use of on-board monitoring and diagnosis techniques to overcome this difficulty. The application is conducted on a commercial vessel equipped with a two-stroke engine from which cylinder pressure measurements were acquired. From the processing of measurements acquired at various operating conditions it is determined the relation between VIT rack position and start of injection angle. This is used to evaluate the VIT system condition and determine the required settings to achieve the desired SOI angle. After VIT system tuning, new measurements were acquired from the processing of which results were derived for various operating parameters, i.e. brake power, specific fuel consumption, heat release rate, start of combustion etc. From the comparative evaluation of results before and after VIT adjustment it is revealed an improvement of specific fuel consumption while firing pressure remains within limits. It is thus revealed that the proposed method has the potential to overcome the disadvantages of purely experimental trial and error methods and that its use can result to fuel saving with minimum effort and time. To evaluate the corresponding effect on NOx emissions, as required by Marpol Annex-VI regulation a theoretical investigation is conducted using a multi-zone combustion model. Shop-test and NOx-file data are used to evaluate its ability to predict engine performance and NOx emissions before conducting the investigation. Moreover, the results derived from the on-board cylinder pressure measurements, after VIT system tuning, are used to evaluate the model’s ability to predict the effect of SOI variation on engine performance. Then the simulation model is applied to estimate the impact of SOI advance on NOx emissions. As revealed NOx emissions remain within limits despite the SOI variation (increase).


2013 ◽  
Vol 345 ◽  
pp. 64-67
Author(s):  
Jian Hua Zhao ◽  
Rui Bo Zhang ◽  
De Bin Zhu ◽  
Hong Bin Gao

Shock test of marine diesel engine is the important content for ship anti-shock research. Plentiful shock tests of equipments have been carried out abroad, but there is no detailed test methods of diesel engine. According to simulation results, 8-channel acceleration test points are determined. Because diesel engine is working, the measured shock acceleration is interfered by vibration signal. Orthogonal wavelet decomposition and wavelet noise reduction methods are used to separate shock component from test results. The seperated shock component consists of two parts. One is the low-frequency part caused by the shock from diesel foundation and then attenuation through the isolator, the other is the high-frequency part caused by the secondary shock of the retainer.


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