Method and system for condition monitoring of related components of ship main engine based on decline contribution
A technology for component status and ship main engine, applied in neural learning method, computer-aided design, biological neural network model, etc., can solve problems such as real-time monitoring of the health status of main engine-related components
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Embodiment 1
[0081] Such as figure 1 As shown, the present embodiment provides a low-speed diesel engine economic analysis method, comprising the following steps:
[0082] Step S1 offline training, select the historical health sample data as the input data of offline training, construct the low-speed diesel engine economy evaluation baseline and the health baseline of economically related components;
[0083] Step S2 online analysis, analyzing the economic status according to the online monitoring data, when the economic status is normal, end; when the economic status is abnormal, perform health status analysis;
[0084] Economic status analysis, based on the low-speed diesel engine economy evaluation baseline, the fuel economy analysis is carried out to obtain the fuel economy status results of the low-speed diesel engine;
[0085] Health status analysis, based on the health baseline of economical related components, the health status analysis of low-speed diesel engine economical relate...
Embodiment 2
[0167] Using the above method to monitor a main engine (the brand is MAN, the model is 5S60ME) used in a 10,000-ton bulk carrier, the monitoring data related to the economy of the diesel engine includes operating status, fuel consumption (direct economic parameters) , Main engine cylinder system (including cylinder exhaust temperature, cylinder piston cooling oil outlet temperature, cylinder liner cooling water outlet temperature, cylinder scavenging tank misfire temperature), supercharger system (supercharger speed), air cooler system ( Typical parameters such as the temperature difference between the front and rear sweep air of the air cooler).
[0168] Part 1: Offline Training Results
[0169] According to the offline training steps of the above-mentioned embodiment 1, input the economical data related to the trouble-free and smooth operation of the ship from 2016 / 8 / 15 to 2016 / 9 / 15, including speed, fuel efficiency, No.1-5 cylinder exhaust temperature , No.1-5 cylinder pis...
Embodiment 3
[0177] This embodiment provides a host economic analysis system, including an offline training module and an online analysis module;
[0178] A data selection module, which is configured to select stable working condition data in historical health samples as input data for offline training;
[0179] a baseline building block configured to execute the build host economics assessment baseline and economics-associated component health baseline;
[0180] An online data acquisition module configured to perform online acquisition of economically relevant monitoring data;
[0181] an economic status analysis module configured to perform an economic status analysis of the host using the constructed host economic assessment baseline;
[0182] Judgment and selection module, which is configured to execute when it is judged that the economical state is normal, the selection ends; when it is judged that the economical state is abnormal, analyze the health status of the associated componen...
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