Diagnostic methodology in four-stroke marine diesel engine by identifying operational parameters

Abstract

For the purpose of assisting in the maintenance of diesel engines installed in ships and offshore platforms, a methodology was developed to detect, identify and quantify faults of its components. A thermodynamic zero-dimensional model of a 6-cylinder marine diesel engine was constructed taking into account the characteristics of the engine operation. The fuel burn rate was modeled using the double function of Wiebe, and because the performance was of interest, the emissions were ignored. The thermodynamic model was validated with data obtained experimentally. A methodology has been implemented that allows simulating four types of faults, based on the developed thermodynamic model. A sensitivity analysis was performed to identify which failures significantly affect the performance parameters. Finally, the diagnostic model was based on parameter estimation using the Levenberg-Marquardt method. Results showed a high degree of confidence in the identification of all the simulated faults.

Health assessment framework of marine engines enabled by digital twins

“…This is accomplished by employing a Levenberg-Marquardt optimisation algorithm to perform a least squares curve fitting considering the simulated and measured compression pressure curves. This optimisation process includes the minimisation of the objective function provided by equation (27).…”

“…Specifically, the utilisation of a first-principles digital twin with exhaust gas temperatures to establish relationships and indicators of faulty and degraded engine conditions was discussed in. 24,25 In addition, more rigorous approaches employed quasi-linear 26 and non-linear 27 system identification techniques by comparing measurements with first-principles digital twins outputs, to identify faults in the intake system and injectors of marine engines. Furthermore, the most recent applications underpinning the suitability and widespread use of first-principles thermodynamics models, utilise them as virtual test beds to verify diagnostic tools, 28 and methods.…”

Method for diagnosing the ICE cylinder-piston group in the combustion chamber in the mode of cranking the engine crankshaft

“…cylinder marine diesel engine and developed methodology to detect, identify and quantify faults of its components [16]. A methodology has been implemented that allows simulating four types of faults, based on the developed thermodynamic model.…”

“…External diagnostic tools, which include compression testers, leak indicators, pneumatic testers, and flow meters, are used for the existing system of scheduled preventive maintenance and repair. Using the above diagnostic methods, the time of the preparatory work can be up to 90% of the total diagnostic process period [14,16,20]. At the same time, the accuracy and reliability remain at an unacceptably low level [21].…”

A Self-Powered and Highly Accurate Vibration Sensor Based on Bouncing-Ball Triboelectric Nanogenerator for Intelligent Ship Machinery Monitoring

“…In recent years, with the development of artificial intelligence, big data, and the Internet-of-things technology, intelligent ship [ 1 ] has become an inevitable trend in the field of ship manufacturing and shipping industry. The development of intelligent ship is closely related to the intellectualization of main engine [ 2 , 3 ], generator diesel engine [ 4 ], air compressor [ 5 ], and other important machinery of ships. At the same time, the basis of intellectualization of the machinery is continuous and accurate working condition monitoring.…”