Method and system for diagnosing fault of rotating speed sensor of supercharger based on real ship data

Abstract

The invention provides a supercharger rotating speed sensor fault diagnosis method and system based on real ship data, and the method comprises the steps: firstly collecting the supercharger rotating speed, the host load and the scavenging pressure of a ship in a certain time period, and carrying out the abnormal point preprocessing, thereby obtaining an average value of all data; further constructing a relational expression between the supercharger rotating speed and the scavenging pressure, a relational expression between the host load and the supercharger rotating speed and a relational expression between the host load and the scavenging pressure, and respectively substituting a plurality of supercharger rotating speeds and host loads in historical data into the corresponding relational expressions to obtain a safety range of each piece of data; whether the supercharger rotating speed data is abnormal or not is judged according to the comparison result of the real-time supercharger rotating speed and the preset minimum rotating speed threshold value and the preset maximum rotating speed threshold value, if not, the real-time supercharger rotating speed and the main engine load are substituted into the relational expression, and the real-time error of all the data is obtained; and the real-time error is compared with the safety range, so that the fault sensor can be quickly and accurately found out, and sailors can be timely reminded to carry out maintenance.

Description

technical field [0001] The invention relates to the technical field of temperature signal detection, in particular to a fault diagnosis method and system for a turbocharger rotational speed sensor based on real ship data. Background technique [0002] Smart ships are based on big data, using advanced information technology, and based on computer technology, automatic control technology and big data processing and analysis technology to achieve intelligent transportation in terms of ships, management, maintenance, and cargo transportation. The foundation for realizing smart shipping. Among marine engines, diesel engines have gradually occupied an absolute dominant position in marine power machinery due to their advantages of good economy, wide power range, rapid starting, high reliability and long service life. [0003] As a key component of the diesel engine intake system, the performance of the supercharger directly affects the intake air volume, output power and thermal e...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the existing problems of accuracy and low efficiency in the fault diagnosis of the speed sensor of the supercharger, the present invention provides a fault diagnosis method of the speed sensor of the supercharger based on real ship data. Supercharger speed, main engine load and scavenging pressure perform fault diagnosis on the key equipment for monitoring the operation of the main engine in the smart ship-the supercharger speed sensor, and judge whether there is a fault in the sensor, so as to remind the crew in time to use the supercharger speed sensor of the main engine Quick repair of abnormal phenomena in the process

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