A Remote Health Diagnosis Method Based on Full Voting XGBoost Algorithm

2021 ◽  
pp. 634-642
Author(s):  
Yuting Li ◽  
Yang Yang ◽  
Peng Yu ◽  
Ying Yao ◽  
Yong Yan
Keyword(s):  
Diagnosis Method ◽  
Remote Health ◽  
Health Diagnosis

Aircraft Health Diagnosis Method Based on ARMA Model and Probabilistic Neural Network

2011 ◽  
Vol 225-226 ◽  
pp. 527-530 ◽  
Author(s):  
Jian Guo Cui ◽  
Bo Han Song ◽  
Shi Liang Dong ◽  
Hai Gang Liu ◽  
Qing Zhao
Keyword(s):  
Neural Network ◽  
Probabilistic Neural Network ◽  
Arma Model ◽  
Information Criterion ◽  
Model Parameters ◽  
Health State ◽  
Feature Vectors ◽  
Emission Signal ◽  
Diagnosis Method ◽  
Health Diagnosis

In order to diagnose the health state of Aircraft effectively, a new method based on ARMA Model and probabilistic neural network(PNN) is proposed in this paper. First, an ARMA model is built using the original acoustic emission signal of aircraft crucial components, then use the autoregressive approximation theory to estimate model parameters, and order of the model is calculated according to Akaike Information Criterion(AIC). Use the autoregressive parameters to build feature vectors, then the probabilistic neural network is used to carry out the recognition of these feature vectors, and the health state of aircraft crucial components is effectively diagnosed. After the application on certain type of real aircraft, this method is proved to be capable of detecting the fatigue crack on crucial structural components. And we can conclude that the method is an effective way to carry out aircraft health diagnosis.

Analytical Hierarchy Process Based Post-Earthquake Health Diagnosis Method for Tunnel in South of China

2014 ◽  
Vol 580-583 ◽  
pp. 991-996
Author(s):  
Hao Huang ◽  
Wei Zhang ◽  
Lu Feng Yang ◽  
Zhen Chen
Keyword(s):  
South China ◽  
Analytical Hierarchy Process ◽  
Failure Modes ◽  
Health Condition ◽  
Comprehensive Investigation ◽  
Highway Tunnel ◽  
Diagnosis Method ◽  
Hierarchy Process ◽  
Health Diagnosis

In order to evaluate the health condition of the tunnel in South China and give advices on reinforcement and maintenance scheme, a post-earthquake health diagnosis method is presented. After a comprehensive investigation on failure modes of tunnel, a four-level ranking method and a index system for post-earthquake health diagnosis of highway tunnel are proposed. Besides, analytical hierarchy process (AHP) is introduced into for determining the post-earthquake health diagnosis mode. Case study manifests the validity of the proposed method, which can provide valuable guide to the post-earthquake health diagnosis and relief work.

Dynamic Behavior Analysis and its Application in Tower Crane Structure Damage Identification

2011 ◽  
Vol 368-373 ◽  
pp. 2478-2482 ◽  
Author(s):  
Sheng Chun Wang ◽  
Rong Sheng Shen ◽  
Tong Hong Jin ◽  
Shi Jun Song
Keyword(s):  
Dynamic Load ◽  
Structural Damage ◽  
Damage Identification ◽  
Fem Model ◽  
Dynamic Displacement ◽  
Structure Damage ◽  
Tower Crane ◽  
Diagnosis Method ◽  
Damage Condition ◽  
Health Diagnosis

First establish a dynamic model of tower crane in the load lifting process, the lifting load is solved.Then establish the FEM model of the tower crane under the normal and the damage condition. Get the dynamic displacement of the normal and the damage status under the lifting dynamic load. Propose a damaged diagnosis method by the displacement rate. The results of the study show that this method can not only diagnose the structural damage status, but also determine the positions of structural damage. This will be a new search on tower crane structural health diagnosis.

Intelligent Health Diagnosis Method for Aircraft Based on Multi-Source Information Fusion

2011 ◽  
Vol 225-226 ◽  
pp. 475-478
Author(s):  
Jian Guo Cui ◽  
Wei Zhao ◽  
Hong Mei Zhang ◽  
Rui Lv ◽  
Peng Shi
Keyword(s):  
Evidence Theory ◽  
Characteristic Vector ◽  
Health State ◽  
Source Information ◽  
Maximum Value ◽  
Diagnosis Method ◽  
Ae Signal ◽  
Structural Parts ◽  
Set Up ◽  
Health Diagnosis

In order to diagnose the health status of aircraft effectively, a health diagnosis method based on D-S evidence theory is proposed. Firstly, this method apperceives the healthy information of a real aircraft stabilizer with real time by using AE(Acoustic Emission, AE) detecting system. Secondly, use the wavelet transform to extract feature of the AE signal, including three characteristics of maximum value (MA), singular value (SVD), standard deviation (STD) to set up characteristic vector, then using GRNN and BP neural network to classify the characteristic vector. Finally, D-S evidence theory is used for decision reasoning. Therefore, The Health State of aircraft can be diagnosed. Experiments show that the monitor has good performance to recognize and diagnose the fatigue crack of aircraft structural parts, which is proposed to be effective.

Sign in / Sign up

Export Citation Format

Share Document