Abstract
As one of the key systems of the marine power plant diesel engine, the turbocharger directly affects whether the diesel engine can continuously and stably provide the power required for the ship. Owing to a number of uncontrollable factors, such as harsh working conditions and complex structures, the turbocharger may have various failures, causing it to lose its intended function. At present, the fault diagnosis of the marine turbocharger has not been paid enough attention yet and in most cases, the method of ‘ex post diagnosis’ is still adopted. When analysing the nonlinear correspondence between the failure symptoms and failure causes, it is difficult for the existing theories to meet the actual diagnostic requirements. This paper introduces the concept of gas-path diagnosis into the condition monitoring for a marine turbocharger for the first time and proposes the flow capacity index which characterizes the flow capacity of the component and the isentropic efficiency index which characterizes the operating efficiency of the component as two dimensionless evaluation indicators for turbocharger health status. Moreover, the nonlinear mapping relationship between these two health parameters and the gas-path measurable parameters of the turbocharger is studied, and a novel performance degradation evaluation method for a turbocharger is established. The proposed method has been tested in three test cases where the degradation of a model turbocharger has been analysed. These case studies have illustrated that the proposed method can accurately isolate the degraded components and further quantify the degradation of the components.
Highlights
The marine exhaust turbocharger is mainly composed of a centrifugal compressor, a centripetal turbine, a rotating shaft, an oil and gas sealing element and a casing
This paper introduces the concept of gas-path diagnosis into the condition monitoring for a marine turbocharger for the first time and proposes the flow capacity index which characterizes the flow capacity of the component and the isentropic efficiency index which characterizes the operating efficiency of the component as two dimensionless evaluation indicators for turbocharger health status
As one of the key systems of the marine power plant diesel engine, the turbocharger directly affects whether the diesel engine can continuously and stably provide the power required for the ship to travel
Summary
The marine exhaust turbocharger is mainly composed of a centrifugal compressor, a centripetal turbine, a rotating shaft, an oil and gas sealing element and a casing. Various performance parameters monitored during the operation of the equipment are processed and analysed afterwards, to determine whether the fault has occurred and the fault type and its cause This method is a typical ‘ex post diagnosis’ mode. The data-driven methods [1,2], such as pattern recognition [3,4,5,6] and machine learning [7], neural networks (NN) [8,9], Bayesian networks [10,11], fuzzy logic [12], support vector machine [13] and rough set theory [14], often need to be built on existing equipment fault sample sets These methods are often difficult to give accurate diagnostic results for fault types not covered in the sample.
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