Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for online abnormity detection of low-speed diesel engine of ship based on baseline deviation

An abnormality detection and diesel engine technology, applied in the field of automation, can solve problems such as failure to detect abnormalities early, and achieve the effect of improving the ocean-going support capability of the main engine, reducing failures and accidents, and having a simple construction method.

Active Publication Date: 2017-02-01
CSSC SYST ENG RES INST
View PDF5 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In view of the above analysis, the present invention aims to provide an online abnormality detection method for marine low-speed diesel engines based on baseline deviation, so as to solve the problem that the existing methods for ensuring the safety of low-speed diesel engine operation cannot detect abnormalities or possible occurrences early to avoid failures or even accidents the occurrence of problems

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for online abnormity detection of low-speed diesel engine of ship based on baseline deviation
  • Method for online abnormity detection of low-speed diesel engine of ship based on baseline deviation
  • Method for online abnormity detection of low-speed diesel engine of ship based on baseline deviation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] Preferred embodiments of the present invention will be specifically described below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of the application and are used together with the embodiments of the present invention to explain the principle of the present invention.

[0042] According to a specific embodiment of the present invention, a method for online abnormal detection of marine low-speed diesel engines based on baseline deviation is disclosed, including:

[0043] Healthy baseline construction oriented to the monitoring process, that is, through the cleaning of historical monitoring data, healthy and stable working condition data are obtained, and the healthy baseline of the monitoring process of marine low-speed diesel engines is constructed in the form of memory matrix.

[0044] On-line anomaly detection based on baseline deviation, that is, through the acquisition of online monitoring data, real-time calculatio...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a method for online abnormity detection of a low-speed diesel engine of a ship based on baseline deviation. The method for online abnormity detection of the low-speed diesel engine of the ship based on baseline deviation comprises the following steps that fault-free data are obtained from historical parameter records of a monitoring system for the low-speed diesel engine of the ship, data under the steady working condition are selected for constructing a health baseline in a memory matrix form, and the health baseline in the memory matrix form is used as a health state baseline of the monitoring system for the low-speed diesel engine; and real-time monitoring data are obtained from the monitoring system for the low-speed diesel engine of the ship, baseline deviation calculation is conducted on the real-time monitoring data under the steady working condition, and an online abnormity detection result based on baseline deviation is output.

Description

technical field [0001] The invention relates to the field of automation technology, in particular to an online abnormal detection method for low-speed marine diesel engines based on baseline deviation. Background technique [0002] As the most important means of transportation at sea, large ships have played an indispensable role in the transformation of human society, the exchange of resources and knowledge, and the exploration of the world since their birth. [0003] Especially in ocean-going ships, the most common main engine of the ship is a low-speed diesel engine. As the "heart" of the ship's power, it is an important guarantee for the safe operation of the ship and is also the part with the highest incidence of ship safety accidents. The safety requirements of ocean-going ships during navigation The objective status quo, such as high speed and weak in-flight support capability, puts forward higher requirements for the safety of low-speed diesel engine in-flight operat...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): F02B77/08
CPCF02B77/08
Inventor 魏慕恒邱伯华蒋云鹏何晓朱武
Owner CSSC SYST ENG RES INST
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products