Affiliation:
1. College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, China
2. Dalian marine diesel CO., Ltd, Dalian 116083, China
Abstract
<abstract>
<p>To satisfy the requirements of low fuel consumption, low emission, and high efficiency of the shipping industry, marine diesel engines are developing in the direction of automation and energy-saving, which increases the possibility and complexity of marine diesel engine failures. A one-dimension thermodynamic model for the marine diesel engine is built with AVL Boost software. The model is applied to a low-speed two-stroke 6S50MC diesel engine, and the error between the main performance parameters obtained by simulation and the test bench data is less than 3% under 100% and 75% load. Based on the model, 6 typical single faults and many typical double faults concomitant phenomena of diesel are reproduced. Based on the second law of thermodynamics, the exergy flow among the components and the external environment is analyzed. The thermoeconomic model of a marine diesel engine is established where the "fuel" and "product" of the components are defined according to their function. The fault diagnosis results show that the effects of faults generally propagate through the diesel engine system and affect the behavior of several components, resulting in induced malfunction in normal components. Therefore the malfunction MF<sub>i</sub> of each component is the superposition of the intrinsic malfunction and the induced malfunction according to the malfunction and dysfunction analysis. The thermoeconomic fault diagnosis method can be used to narrow the search range of abnormal components though it cannot accurately locate the fault.</p>
</abstract>
Publisher
American Institute of Mathematical Sciences (AIMS)
Subject
Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modeling and Simulation,General Medicine
Reference30 articles.
1. J. Carlton, J. Aldwinkle, J. Anderson, Future Ship Powering Options: Exploring Alternative Methods of Ship Propulsion, Royal Academy of Engineering, London, 2013, .
2. B. Haight, Marine propulsion order survey, in Diesel and Gas Turbine Worldwide, 2013.
3. A. K. S. Jardine, D. Lin, D. Banjevic, A review on machinery diagnostics and prognostics implementing condition-based maintenance, Mech. Syst. Signal Process., 20 (2006), 1483–1510. https://doi.org/10.1016/j.ymssp.2005.09.012
4. D. T. Hountalas, A. D. Kouremenos, Development and application of a fully automatic troubleshooting method for large marine diesel engines, Appl. Therm. Eng., 19 (1999), 299–324. https://doi.org/10.1016/S1359-4311(98)00048-9
5. V. T. Lamaris, D. T. Hountalas, A general purpose diagnostic technique for marine diesel engines–Application on the main propulsion and auxiliary diesel units of a marine vessel, Energy Convers. Manage., 51 (2010), 740–753. https://doi.org/10.1016/j.enconman.2009.10.031
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献