Fault Diagnosis Method for Marine Engine System Combined with Multiple Clusters Using Label Propagation

2013 ◽  
Vol 694-697 ◽  
pp. 1301-1305
Author(s):  
Ai Ping Zhang ◽  
Guang Ren ◽  
Bao Zhu Jia ◽  
Ye Jin Lin ◽  
Jun Dong Zhang
Keyword(s):  
Fault Diagnosis ◽  
Simulation Experiment ◽  
Fault Analysis ◽  
Propagation Model ◽  
Label Propagation ◽  
Marine Engine ◽  
Diagnosis Method ◽  
Engine System ◽  
Multiple Clusters ◽  
Single Cluster

Fault diagnosis for marine engine system can be achieved by cluster process. We propose a multiple clusters method using label propagation model repeatedly to cluster for fault samples. Due to randomness in label propagation, some classes which are not easy to be found in single cluster can be found. To verify the performance of this method, the samples from self-manufactured marine engine room simulator are used in fault diagnosis simulation experiment. Both fault analysis results and fault diagnosis results are completely correct, and fault pattern which is not in fault history data can be recognized.

Fault Diagnosis for Marine Engine System Based on Complex Network Cluster Method

2013 ◽  
Vol 655-657 ◽  
pp. 801-805
Author(s):  
Ai Ping Zhang ◽  
Guang Ren ◽  
Bao Zhu Jia
Keyword(s):  
Fault Diagnosis ◽  
Complex Network ◽  
Simulation Experiment ◽  
Cluster Method ◽  
Criterion Function ◽  
Algorithm Performance ◽  
Marine Engine ◽  
Analysis Process ◽  
Network Cluster ◽  
Engine System

Fault diagnosis can be achieved by the cluster analysis process. We give a complete similarity measurement method and a cluster criterion function defined by modularity increment in complex network community detection. An agglomerative cluster method is proposed and the diagnosis rules are extracted to fault diagnosis for the marine engine system. Using the samples collected from self-manufactured marine engine room simulator, fault diagnosis simulation experiment is carried out to verify the algorithm performance. The results show that the method is accurate and less time-consuming, and is able to recognize the fault pattern which does not exist in the fault history data.

scholarly journals Approach to Marine Engine Fault Diagnosis Method

1989 ◽  
Vol 24 (2) ◽  
pp. 160-166
Author(s):  
Yoshinori Mihara ◽  
Fumio Murakami ◽  
Hiroki Iwasaki
Keyword(s):  
Fault Diagnosis ◽  
Marine Engine ◽  
Diagnosis Method

scholarly journals A Marine Gas Turbine Fault Diagnosis Method Based on Endogenous Irreversible Loss

Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4677 ◽  
Author(s):  
Yunpeng Cao ◽  
Junqi Luan ◽  
Guodong Han ◽  
Xinran Lv ◽  
Shuying Li
Keyword(s):  
Fault Diagnosis ◽  
Gas Turbine ◽  
Thermal Efficiency ◽  
Simulation Experiment ◽  
Second Law Of Thermodynamics ◽  
Second Law ◽  
Irreversible Loss ◽  
Loss Analysis ◽  
Diagnosis Method ◽  
Gas Path Fault

When a malfunction occurs in a marine gas turbine, its thermal efficiency will decrease slightly, and the gas path fault is often difficult to distinguish. In order to solve this problem, based on the second law of thermodynamics, the endogenous irreversible loss (EIL) model of the marine gas turbine is established, and the exergy loss analysis under normal conditions is carried out to verify the accuracy of the model. The fault diagnosis of gas turbine gas path based on EIL is proposed, and a simulation experiment conducted on a three-shaft marine gas turbine demonstrated that the proposed approach can detect and isolate gas path fault accurately under different operating conditons and enviroments.

scholarly journals Rectifier Fault Diagnosis and Fault Tolerance of a Doubly Fed Brushless Starter Generator

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Liwei Shi ◽  
Zhou Bo
Keyword(s):  
Fault Diagnosis ◽  
Fault Tolerant ◽  
Wavelet Packet ◽  
Energy Eigenvalue ◽  
Open Circuit ◽  
Fault Analysis ◽  
Identification Algorithm ◽  
Diagnosis Method ◽  
Doubly Fed ◽  
Starter Generator

This paper presents a rectifier fault diagnosis method with wavelet packet analysis to improve the fault tolerant four-phase doubly fed brushless starter generator (DFBLSG) system reliability. The system components and fault tolerant principle of the high reliable DFBLSG are given. And the common fault of the rectifier is analyzed. The process of wavelet packet transforms fault detection/identification algorithm is introduced in detail. The fault tolerant performance and output voltage experiments were done to gather the energy characteristics with a voltage sensor. The signal is analyzed with 5-layer wavelet packets, and the energy eigenvalue of each frequency band is obtained. Meanwhile, the energy-eigenvalue tolerance was introduced to improve the diagnostic accuracy. With the wavelet packet fault diagnosis, the fault tolerant four-phase DFBLSG can detect the usual open-circuit fault and operate in the fault tolerant mode if there is a fault. The results indicate that the fault analysis techniques in this paper are accurate and effective.

Multi-Hierarchical Functional Directed Graph Modeling Method for Aircraft System Fault Diagnosis

2014 ◽  
Vol 541-542 ◽  
pp. 1467-1472 ◽  
Author(s):  
Yan Su ◽  
Peng Peng Liu
Keyword(s):  
Fault Diagnosis ◽  
Directed Graph ◽  
Hybrid System ◽  
Fuzzy Theory ◽  
Modeling Method ◽  
Fault Analysis ◽  
Graph Modeling ◽  
Aero Engine ◽  
Diagnosis Method ◽  
Aircraft System

In order to diagnosing new fault for hybrid system which is lack of experiential knowledge and historic knowledge, semi-quantitative fault diagnosis method based on graph theory and fuzzy theory combined with functional fault analysis (FFA) theories and Failure Mode and Effects Analysis (FMEA) is studied. And a multi-hierarchical functional directed graph modeling method is proposed for aircraft system fault diagnosis. Nacelle Anti-Ice subsystem of an aero engine is taken as a specific application to present the detailed MHFDG modeling method. The proposed modeling method is suitable for fault diagnosis of newly developed hybrid system.

Helicopter main reduction planetary gear fault diagnosis method based on SVDD

2020 ◽  
Vol 64 (1-4) ◽  
pp. 137-145
Author(s):  
Yubin Xia ◽  
Dakai Liang ◽  
Guo Zheng ◽  
Jingling Wang ◽  
Jie Zeng
Keyword(s):  
Fault Diagnosis ◽  
Planetary Gear ◽  
Gaussian Kernel ◽  
Support Vector ◽  
Support Vector Data Description ◽  
Vector Data ◽  
Energy Characteristics ◽  
Gear Fault ◽  
Channel Information ◽  
Diagnosis Method

Aiming at the irregularity of the fault characteristics of the helicopter main reducer planetary gear, a fault diagnosis method based on support vector data description (SVDD) is proposed. The working condition of the helicopter is complex and changeable, and the fault characteristics of the planetary gear also show irregularity with the change of working conditions. It is impossible to diagnose the fault by the regularity of a single fault feature; so a method of SVDD based on Gaussian kernel function is used. By connecting the energy characteristics and fault characteristics of the helicopter main reducer running state signal and performing vector quantization, the planetary gear of the helicopter main reducer is characterized, and simultaneously couple the multi-channel information, which can accurately characterize the operational state of the planetary gear’s state.

Towards High Accuracy Fault Diagnosis of Digital Circuits

2004 ◽  
Author(s):  
Camelia Hora ◽  
Stefan Eichenberger
Keyword(s):  
Fault Diagnosis ◽  
Fault Location ◽  
Digital Circuits ◽  
High Accuracy ◽  
Manufacturing Processes ◽  
Diagnosis Method ◽  
Technology Trend

Abstract Due to the development of smaller and denser manufacturing processes most of the hardware localization techniques cannot keep up satisfactorily with the technology trend. There is an increased need in precise and accurate software based diagnosis tools to help identify the fault location. This paper describes the software based fault diagnosis method used within Philips, focusing on the features developed to increase its accuracy.

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