The Application Status of Weapons Fault Diagnosis Technology

2013 ◽  
Vol 706-708 ◽  
pp. 2063-2066
Author(s):  
Meng Chun Zhong ◽  
Chun Lin Zhang ◽  
Hua Li
Keyword(s):  
Fault Diagnosis ◽  
Development Trend ◽  
Single Fault ◽  
The Future ◽  
Main Fault ◽  
Diagnosis Technique

based on the explanation of the connotation of the fault diagnosis technique, this paper introduced the application status of the main fault diagnosis technology of the weapons in both domestic and overseas, also points out the single fault diagnosis technology showed great limitations to the maintenance of the modern weapons. Researching and using the hybrid fault diagnosis technology is a development trend for the weapon maintenance both at present and in the future.

A CAD-Based Approach to Failure Diagnosis of CMOSLSI with Single Fault Using Abnormal IDDQ

1997 ◽  
Author(s):  
M. Sanada
Keyword(s):  
Fault Diagnosis ◽  
Fault Location ◽  
Logic Gates ◽  
Physical Damage ◽  
Logic Simulation ◽  
Single Fault ◽  
Circuit Structure ◽  
Logic State ◽  
Simple Logic ◽  
Diagnosis Technique

Abstract A CAD-based fault diagnosis technique for CMOS-LSI with single fault using abnormal IDDQ has been developed to indicate the presence of physical damage in a circuit. This method of progressively reducingthe faulty portion, works by extracting the inner logic state of each block from logic simulation, and by deriving test vector numbers with abnormal IDDQ. To easily perform fault diagnosis, the hierarchical circuit structure is divided into primitive blocks including simple logic gates. The diagnosis technique employs the comparative operation of each primitive block to determine whether one and the same inner logic state with abnormal IDDQ exists in the inner logic state with normal IDDQ or not. The former block is regarded as normal block and the latter block is regarded as faulty block. The fault of the faulty block can be localized easily by using input logic state simulation. Experimental results on real faulty LSI with 100k gates demonstrated rapid diagnosis times of within ten hours ani reliable extraction of the fault location.

Research of Equipment Comprehensive Diagnostic Technology

2013 ◽  
Vol 321-324 ◽  
pp. 1886-1889
Author(s):  
Wei Xu ◽  
Zhao Ming Liu
Keyword(s):  
Fault Diagnosis ◽  
Development Trend ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Integrated Monitoring ◽  
Comprehensive Diagnosis ◽  
Diagnostic Technology ◽  
Infrared Diagnosis ◽  
Non Destructive ◽  
Diagnosis Technique

In the course of the comprehensive diagnosis of equipment troubles, infrared diagnosis technique is adopted to achieve the non-contact NDT (non-destructive testing) and fault diagnosis for the equipments in operation. The oil analysis and integrated monitoring expert system facilitates a comprehensive and systematic monitoring of the lubricating system of important equipments and the conditions of crucial movement parts, providing a development trend of the wearing process of the major friction pairs. It also detects the signs of failure so as to prevent sudden breakdowns, thus enhancing the reliability of condition monitoring and fault diagnosis.

A fast MPPT-based anomaly detection and accurate fault diagnosis technique for PV arrays

2021 ◽  
Vol 234 ◽  
pp. 113950
Author(s):  
Chenxi Li ◽  
Yongheng Yang ◽  
Kanjian Zhang ◽  
Chenglong Zhu ◽  
Haikun Wei
Keyword(s):  
Fault Diagnosis ◽  
Anomaly Detection ◽  
Diagnosis Technique

Research on Roller Bearing with Fault Diagnosis Method Based on EMD and BP Neural Network

2014 ◽  
Vol 1014 ◽  
pp. 501-504 ◽  
Author(s):  
Shu Guo ◽  
You Cai Xu ◽  
Xin Shi Li ◽  
Ran Tao ◽  
Kun Li ◽  
...  
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Bp Neural Network ◽  
Roller Bearing ◽  
Vibration Signal ◽  
Classification Performance ◽  
Outer Race ◽  
Mode Decomposition ◽  
Diagnosis Method ◽  
Main Fault

In order to discover the fault with roller bearing in time, a new fault diagnosis method based on Empirical mode decomposition (EMD) and BP neural network is put forward in the paper. First, we get the fault signal through experiments. Then we use EMD to decompose the vibration signal into a series of single signals. We can extract main fault information from the single signals. The kurtosis coefficient of the single signals forms a feature vector which is used as the input data of the BP neural network. The trained BP neural network can be used for fault identification. Through analyzing, BP neural network can distinguish the fault into normal state, inner race fault, outer race fault. The results show that this method can gain very stable classification performance and good computational efficiency.

Recent Reviews on Machine Vision-Based 3D Reconstruction

2021 ◽  
Vol 14 ◽  
Author(s):  
Hongxin Zhang ◽  
Shaowei Ma ◽  
Meng Li ◽  
Hanghang Jiang ◽  
Jiaming Li
Keyword(s):  
Machine Vision ◽  
3D Reconstruction ◽  
Autonomous Navigation ◽  
Robot Vision ◽  
Research Direction ◽  
Development Trend ◽  
Future Research ◽  
The Future ◽  
The Development Trend ◽  
Better Than

Background: In machine vision, the 3D reconstruction is widely used in medical system, autonomous navigation, aviation and remote sensing measurement, industrial automation and other fields, and the demand for reconstruction precision is significantly highlighted. Therefore, the 3D reconstruction is of great research value and will be an important research direction in the future. Objective: By reviewing the latest development and patent of 3D reconstruction, this paper provides references to researchers in related fields. Methods: Machine vision-based 3D reconstruction patents and literatures were analyzed from the aspects of the algorithm, innovation and application. Among them, there are more than 30 patents and nearly 30 literatures in the past ten years. Results: Researches on machine vision-based 3D reconstruction in recent 10 years are reviewed, and the typical characteristics were concluded. The main problems in its development were analyzed, the development trend was foreseen, and the current and future research on the productions and patents related to machine vision-based 3D reconstruction is discussed. Conclusion: The reconstruction result of binocular vision and multi-vision is better than monocular vision in most cases. Current researches of 3D reconstruction focus on robot vision navigation, intelligent vehicle environment sensing system and virtual reality. The aspects that need to be improved in the future include: improving robustness, reducing computational complexity, and reducing operating equipment requirements, and so on. Furthermore, more patents on machine vision-based 3D reconstruction also should be invented.

Study on the Transformation of the Development Model of the National Public Information Sharing Platform for Transportation & Logistics

2015 ◽  
Vol 744-746 ◽  
pp. 1902-1905
Author(s):  
Shou Wen Ji ◽  
Qiu Xing Feng
Keyword(s):  
Information Sharing ◽  
Public Information ◽  
Development Trend ◽  
Development Model ◽  
Service Model ◽  
Profit Model ◽  
The Sustainable Development ◽  
Development Status ◽  
The Future ◽  
The Development Trend

The article researches on the development model of the National Public Information Sharing Platform for Transportation& Logistics (LOGINK), in which the author introduces the function orientation of the LOGINK. Based on the current development status of the platform, the article predicts the development trend in the future. Then, it analyzed the necessary of the transformation of the LOGINK’s development model. In order to ensure the sustainable development of the platform, this paper proposes that the development model should be changed from “Charity” to “Charity + Appreciation”. Lastly, the article gives a plan about the service model and profit model of the platform in the future.

Discussion of the Development Trend of Urban Residences in the 21st Century

2011 ◽  
Vol 368-373 ◽  
pp. 3672-3675
Author(s):  
Xiao Hua Guo ◽  
Lei Zhang
Keyword(s):  
Sustainable Development ◽  
Energy Conservation ◽  
Environmental Protection ◽  
Development Trend ◽  
Residential Construction ◽  
Residential Energy ◽  
Aging Society ◽  
The Future ◽  
Construction Pattern ◽  
The Development Trend

This paper discusses the development trend of urban residences in the future from residential energy conservation, sustainable development, ecologicalization, intelligentalization, and the way to fit for the demands of aging society, in order to offer a reference for seeking the construction pattern of comfortable, healthy and environmental protection residences and the development of such residences, and to make the residential construction in our country better satisfy the consistently increased residential requirements of people.

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