Fault diagnosis of diesel engine information fusion based on adaptive dynamic weighted hybrid distance-taguchi method (ADWHD-T)

Aiming at the problem of the conventional vibration fault diagnosis technology with inconsistent result of a hydroelectric generating unit, an information fusion method was proposed based on the improved evidence theory. In this algorithm, the original evidence was amended by the credibility factor, and then the synthesis rule of standard evidence theory was utilized to carry out information fusion. The results show that the proposed method can obtain any definitive conclusion even if there is high conflict evidence in the synthesis evidence process, and may avoid the divergent phenomenon when the consistent evidence is fused, and is suitable for the fault classification of hydroelectric generating unit.

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Optimization of compression ratio and injection timing of a diesel engine Fueled with oxygenated blends using fuzzy logic-based Taguchi method

Energy Sources Part A Recovery Utilization and Environmental Effects ◽

10.1080/15567036.2020.1871123 ◽

2021 ◽

pp. 1-21

Author(s):

Ramesh Kumar Chidambaram ◽

Ankit Sonthalia ◽

Gopal Poornananadan ◽

Edwin Geo Varuvel ◽

Thiyagarajan Subramanian

Keyword(s):

Fuzzy Logic ◽

Diesel Engine ◽

Taguchi Method ◽

Compression Ratio ◽

Injection Timing

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Fault Diagnosis of Bearings Based on Multi-Sensor Information Fusion and 2D Convolutional Neural Network

IEEE Access ◽

10.1109/access.2021.3056767 ◽

2021 ◽

Vol 9 ◽

pp. 23717-23725

Author(s):

Jiaxing Wang ◽

Dazhi Wang ◽

Sihan Wang ◽

Wenhui Li ◽

Keling Song

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Convolutional Neural Network ◽

Information Fusion ◽

Sensor Information

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Mine ventilator fault diagnosis based on information fusion technique

Procedia Earth and Planetary Science ◽

10.1016/j.proeps.2009.09.229 ◽

2009 ◽

Vol 1 (1) ◽

pp. 1484-1488 ◽

Cited By ~ 1

Author(s):

Shi Li-ping ◽

Han Li ◽

Wang Ke-wu ◽

Zhang Chuan-juan

Keyword(s):

Fault Diagnosis ◽

Information Fusion ◽

Fusion Technique ◽

Information Fusion Technique

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Application of Integrated Neural Network Information Fusion in Fault Diagnosis of one Missile Launching Control Unit

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.427-429.2808 ◽

2013 ◽

Vol 427-429 ◽

pp. 2808-2812

Author(s):

Xu De Cheng ◽

Hong Li Wang ◽

Bing Xu ◽

Xue Dong Xue

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Information Fusion ◽

Preliminary Analysis ◽

Control Unit ◽

Fusion Technology ◽

Network Information ◽

Diagnosis Rate ◽

Fault Diagnosis System ◽

Made In

Research and development of fault diagnosis system in application of integrated neural network information fusion is based on information fusion technology, with which preliminary analysis of equipment fault is made in different perspectives in terms of neural network, so as to identify the fault on the basis of fusion outcome. This technique is applied in fault diagnosis of one type of missile launching control unit, leading to sufficient use of various information and substantially increased fault diagnosis rate.

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