A new hybrid model of information entropy and unascertained measurement with different membership functions for evaluating destressability in burst-prone underground mines

2020 ◽  
Author(s):  
Jian Zhou ◽  
Chao Chen ◽  
Kun Du ◽  
Danial Jahed Armaghani ◽  
Chuanqi Li
Keyword(s):  
Hybrid Model ◽  
Information Entropy ◽  
Underground Mines ◽  
Membership Functions

Power Equipment Technical State Assessment Principles

2014 ◽  
Vol 492 ◽  
pp. 531-535 ◽  
Author(s):  
Stepan A. Dmitriev ◽  
Alexandra I. Khalyasmaa
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Fuzzy Logic ◽  
Knowledge Base ◽  
Hybrid Model ◽  
State Assessment ◽  
Technical State ◽  
Model Construction ◽  
Power Equipment ◽  
Membership Functions

This article is devoted to the principles of power equipment technical state assessment at 35-220 kV substations. The article deals with the network hybrid model construction using methods of fuzzy logic and artificial neural network. Finally, in order to construct the knowledge base, a methodology of the power equipment technical state assessment, based on the membership functions, is introduced.

scholarly journals Hybrid Model-Based Analysis of Underground Articulated Vehicles Steering Characteristics

2019 ◽  
Vol 9 (24) ◽  
pp. 5274
Author(s):  
Lulu Gao ◽  
Chun Jin ◽  
Yuchao Liu ◽  
Fei Ma ◽  
Zhipeng Feng
Keyword(s):  
Dynamic Model ◽  
Hybrid Model ◽  
Field Test ◽  
Steering System ◽  
Underground Mines ◽  
Maximum Deviation ◽  
Model Based ◽  
Articulated Vehicles ◽  
Steering Characteristics ◽  
Hydraulic Power Steering

Owing to the harsh environment of underground mines, autonomous underground articulated vehicles (UAVs) with precise control and positioning system are particularly important. However, the ambiguity of steering characteristics hinders the development of UAVs. This study presents a model-based method to uncover the steering characteristics of a UAV. Firstly, a hybrid model of UAV was established, which included a dynamic model of articulated frames and a model of the hydraulic power steering system. Secondly, a field test of a typical UAV, a load-haul-dump (LHD) with 4 m3 capacity, was carried out. In order to verify the correctness of the established model and the accuracy of the involved parameters, the field test results were used to verify the dynamic model in time and frequency domains. Then, the steering characteristics of the UAV were uncovered based on the verified hybrid model, and the results showed that the increased load would increase ‘oversteering’ under the same articulation angle and that the error of trajectory exceeded 0.3 m. In addition, the deviations of trajectories between the two frames were revealed during the transient steering process, and the maximum deviation reached 0.21 m when the velocity was 2 m/s and the articulation angle was 15°. The comprehensive results indicate that the steering characteristics of UAVs cannot be ignored in regard to precise autonomous control and positioning.

A Hybrid Model for Teaching and Practicing Evidence-Based Practice

2007 ◽  
Vol 14 (1) ◽  
pp. 20-22 ◽  
Author(s):  
Shannon Hall-Mills ◽  
Kenn Apel
Keyword(s):  
Hybrid Model ◽  
Evidence Based Practice ◽  
Evidence Based

Hybrid model to sniff pollutants better

Nature India ◽  
2013 ◽  
Keyword(s):  
Hybrid Model
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