The Application of Binary Tree-Based Fuzzy SVM Multi-classification Algorithm to Fault Diagnosis on Modern Marine Main Engine Cooling System

2012 ◽  
pp. 107-114
Author(s):  
Yulong Zhan ◽  
Huiqing Yang ◽  
Qinming Tan ◽  
Yao Yu
Keyword(s):  
Fault Diagnosis ◽  
Binary Tree ◽  
Cooling System ◽  
Classification Algorithm ◽  
Engine Cooling ◽  
Main Engine ◽  
Multi Classification

scholarly journals Fault diagnosis and maintenance of automobile engine cooling system

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Chunmei Chen
Keyword(s):  
Fault Diagnosis ◽  
Cooling System ◽  
Reference Value ◽  
Mechanical Equipment ◽  
Automobile Engine ◽  
Engine Cooling ◽  
Economic Level ◽  
Long Time ◽  
Further Development

With the further development of the society, the economic level of Chinese residents is gradually improving. Under such circumstances, the number of automobiles and their usage are increasing as well. As a kind of mechanical equipment, there will be many application faults of the automobile after long-term use. Only by solving the faults can automobiles be restarted and run stably for a long time. Based on this, this paper focuses on automobile maintenance, analyzes the principle of engine cooling system, and studies the diagnosis and maintenance methods of this kind of fault, trying to provide some reference value for the further discussion and research in this field.

Study on the Fault Diagnosis of Turbine Based on Support Vector Machine

2011 ◽  
Vol 55-57 ◽  
pp. 1803-1806 ◽  
Author(s):  
Bao Ling Liu
Keyword(s):  
Support Vector Machine ◽  
Fault Diagnosis ◽  
Classification Algorithm ◽  
Support Vector ◽  
Multi Classification

The paper presented the improved “one to many” classification algorithm in the basis of analyzing the shortcoming of the two traditional multi-classification algorithm, and established multi-fault classifier based on SVM to class the turbine typical faults. The results shows that the classifier may get satisfied effect.

scholarly journals The influence of technological errors on the corrosion degradation of the copper alloy from the cunifer group – CuNi10Fe1,6Mn

Mechanik ◽  
2019 ◽  
Vol 92 (5-6) ◽  
pp. 391-394
Author(s):  
Jakub Kowalski ◽  
Milena Supernak-Marczewska ◽  
Krzysztof Emilianowicz ◽  
Lech Nadolny
Keyword(s):  
Sea Water ◽  
Cooling System ◽  
Welding Process ◽  
Technical Condition ◽  
Corrosion Properties ◽  
Engine Cooling ◽  
The Subject ◽  
Technological Defects ◽  
Main Engine ◽  
The Impact

Copper and nickel alloys called cunifers (Cu, Ni, Fe and R – rest of alloy elements) have found wide application in the production of ship pipeline components in contact with sea water, such as, for example, the main engine cooling system. These alloys are characterized by a very high corrosion resistance, which is ensured by appropriately carried out passivation. However, with improperly carried out passivation, this material loses its anti-corrosion properties and is often corroded. In addition, a mistakenly conducted welding process is a factor conducive to degradation processes. The purpose of this work is to show the impact of errors created during the production process and pipeline testing for its technical condition. The subject of the research was a fragment of the pipeline made of CuNi10Fe1,6Mn alloy, coming from a vessel floating on sea waters. Macro- and microscopic examinations revealed a number of technological defects that affected the degradation of this element.

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