Construction of intelligent query system for metro electromechanical equipment faults based on the knowledge graph

2021 ◽  
pp. 1-18
Author(s):  
Ziyu Liu ◽  
Ying Li ◽  
Lixia Zhao ◽  
Pengtao Guo
Keyword(s):  
User Interaction ◽  
Electrical Equipment ◽  
Research Field ◽  
Knowledge Graph ◽  
Mechanical Equipment ◽  
Natural Language Question ◽  
Interaction Interface ◽  
Equipment Failures ◽  
Electromechanical Equipment ◽  
Inquiry System

The intelligent inquiry system for metro electro-mechanical equipment faults based on the knowledge graph can effectively consolidate various semi-structured failure messages, and can provide users with quick, accurate and high-quality intelligent inquiry services such as equipment fault causes-researching and solutions-delivering, which could be really relevant to this research field and application areas. The recorded date which related to metro electromechanical equipment failures were in this research collected, consolidated and converted, so that these failures could be stored in our databases. In this context, various functions of the intelligent inquiry system have been implemented, including: natural language question analysis, language Cypher-based question and answer design, Naive Bayesian classification based on characteristic core words, and user interaction interface realization. The experimental results show that the system can effectively solve the problems related to fault handling in metro mechanical and electrical equipment, thus improving the efficiency of equipment fault maintenance.

scholarly journals LOCAL MEANS OF THERMAL DIAGNOSTIC CONTROL OF ELECTRICAL EQUIPMENT FUNCTIONALITY

2021 ◽  
Vol 3 (163) ◽  
pp. 126-132
Author(s):  
S. Yesaulov ◽  
A. Kovalenko ◽  
O. Babicheva ◽  
D. Khuruzha
Keyword(s):  
Thermal Control ◽  
Electrical Equipment ◽  
Thermal Method ◽  
Binary Representation ◽  
Transport Models ◽  
Local Means ◽  
Direct Measurements ◽  
Equipment Failures ◽  
Electromechanical Equipment ◽  
Selection Of

Attention is drawn to the lack in many municipal transport models of off-line testing engineering tools of on-board parameters and assessment of electromechanical equipment in real time. These development restraints are caused by stagnation of engineering decisions that can be eliminated with the help of the unlimited possibilities of modern microelectronics. It has been considered an example of thermal control of electrical equipment during its operations. The popularity of the thermal method of equipment control is confirmed by its application not only in transport, but also in electromechanical devices. It has been considered methods of using several thermal transducers for collecting data and forming matrices characterizing a certain class of breakdowns. The most important matrix is ​​the initial one, which refers to the serviceable equipment at the beginning of equipment operations. Due to increased reliability of data, it is advisable to develop effective methods for selective selection of initial values. The paper drew attention to the possibility of solving such problems by software with the implementation of comparison methods, sorting options, etc. The peculiarity of algorithms development for such auxiliary operations is due to the possibility of creating data arrays for the practical identification of possible failures, both in individual parts of the equipment and in the set of components as a whole. It has been presented the results of the binary representation of intermediate and final information messages, which greatly simplify the implementation of diagnostic examination tools. Modeling in the Matlab environment confirmed acceptability of proposed engineering decisions adapted for their implementation by means of processors with RISC-architecture. Despite the fact that binary methods of breakdowns technical appraisal will always differ much more inaccuracy than those made on the basis of direct measurements, proposed autonomous local binary experts in onboard versions of their implementation in transport are less labor-intensive, do not require maintenance, are economical and may turn out to be good helpers to prevent possible equipment failures when operating vehicles on passenger service lines.

scholarly journals Question-aware memory network for multi-hop question answering in human–robot interaction

2021 ◽  
Author(s):  
Xinmeng Li ◽  
Mamoun Alazab ◽  
Qian Li ◽  
Keping Yu ◽  
Quanjun Yin
Keyword(s):  
Question Answering ◽  
State Of The Art ◽  
Human Robot Interaction ◽  
Knowledge Graph ◽  
Robot Interaction ◽  
Natural Language Question ◽  
Memory Network ◽  
The Given ◽  
Fine Tune ◽  
Language Question

AbstractKnowledge graph question answering is an important technology in intelligent human–robot interaction, which aims at automatically giving answer to human natural language question with the given knowledge graph. For the multi-relation question with higher variety and complexity, the tokens of the question have different priority for the triples selection in the reasoning steps. Most existing models take the question as a whole and ignore the priority information in it. To solve this problem, we propose question-aware memory network for multi-hop question answering, named QA2MN, to update the attention on question timely in the reasoning process. In addition, we incorporate graph context information into knowledge graph embedding model to increase the ability to represent entities and relations. We use it to initialize the QA2MN model and fine-tune it in the training process. We evaluate QA2MN on PathQuestion and WorldCup2014, two representative datasets for complex multi-hop question answering. The result demonstrates that QA2MN achieves state-of-the-art Hits@1 accuracy on the two datasets, which validates the effectiveness of our model.

Preliminary Study of PHM System Based on Data Driven

2017 ◽  
Vol 868 ◽  
pp. 299-304 ◽  
Author(s):  
Zhi Xing Tian ◽  
Zhang Wei ◽  
Li Na Hao ◽  
Shu Bing Liu ◽  
Bing Yin Qu
Keyword(s):  
Health Management ◽  
Implementation Process ◽  
Electrical Equipment ◽  
Development Trend ◽  
Data Driven ◽  
Implicit Information ◽  
Management Technology ◽  
Preliminary Study ◽  
Electromechanical Equipment ◽  
The Development Trend

Complex mechanical and electrical equipment contains a large amount of data with the implicit information. According to the development of PHM (Prognostics and Health Management) technology at home and abroad, and the wide application prospects of data driving methods, the overall framework of data driven PHM system for complex electromechanical equipment was designed. The data driven PHM implementation process of the complex mechanical and electrical equipment was described step by step, which provides important theoretical significance and application value for the PHM research of the complex mechanical and electrical equipment. Finally, the development trend and research challenges of data driven PHM method were analyzed.

Design of the Fault Diagnosis and Maintenance Support System of New Self-Propelled Artillery Electromechanical Equipment

2013 ◽  
Vol 456 ◽  
pp. 80-85
Author(s):  
Xue Bing Liao ◽  
Ren Bin Zhou ◽  
Lin Hao Huang ◽  
Li Juan Huang
Keyword(s):  
Fault Diagnosis ◽  
Information Management ◽  
Support System ◽  
High Stability ◽  
Electrical Equipment ◽  
Information Management System ◽  
Hardware Platform ◽  
Object Based ◽  
Electromechanical Equipment ◽  
Offline Testing

As the research object based on a variety of models of self-propelled artillery electromechanical equipment, detailed analysis was carried out on the self-propelled guns electrical equipment failure mode by using the artificial intelligence diagnosis and data mining technology, and a comprehensive, universal and high stability fault diagnosis and maintenance support system for the new self-propelled artillery electromechanical equipment is developed, which realize offline testing, FBI test and quality assessment, a combination of fault diagnosis, maintenance decision-making and information management. Based on the system hardware platform, the fault diagnosis model and maintenance information management system are established, the corresponding fault diagnosis and maintenance support system are finally developed.By passing test, the system have strong comprehensive ,good versatility and the characteristics of high stability.

Design of Noise Testing System for Airborne Electromechanical Equipment

2019 ◽  
Vol 11 (3) ◽  
Author(s):  
Rui Wang ◽  
Nian-Chu Wu ◽  
Xin-Li Yu
Keyword(s):  
Noise Reduction ◽  
Digital Processing ◽  
Electrical Equipment ◽  
Test System ◽  
Noise Measurement ◽  
International Electrotechnical Commission ◽  
Speed Sensor ◽  
Long Time ◽  
Noise Test ◽  
Electromechanical Equipment

Noise test system model of current mechanical and electrical equipment is backward, which is easy to cause low test precision and long time-consuming problems. The afterward noise reduction work cannot be carried out smoothly. For this reason, a new noise test system for airborne electromechanical equipment is designed. The system is based on FPGA and MCU, including the system of power supply, speed sensor, noise sensor and so on. According to the noise measurement algorithm formulated by the International Electrotechnical Commission (IEC), the calculation of frequency and time weights in noise measurement is digitized. The digital processing algorithm of 1/3 octave spectrum analysis is combined to realize the noise test of airborne electromechanical equipment. The experimental results show that the designed system has strong anti-interference, high accuracy of noise testing, fast testing speed and conducive to the implementation of noise reduction work in the later period.

Information Fusion Algorithm for Electromechanical Equipment Based on DS Evidence Theory

2013 ◽  
Vol 380-384 ◽  
pp. 1125-1128 ◽  
Author(s):  
Yao Hui Zhang ◽  
Jun Xu ◽  
Kang Du
Keyword(s):  
Information Fusion ◽  
Evidence Theory ◽  
Prediction Method ◽  
Electrical Equipment ◽  
Fusion Algorithm ◽  
State Prediction ◽  
Level Information ◽  
The Difference ◽  
Equipment State ◽  
Electromechanical Equipment

According to the problem that the difference of test mode, mixed quantitative and qualitative information of electromechanical equipment state prediction, a state prediction method based on information fusion was proposed in this paper. It was used DS evidence theory to fuse decision level information of electromechanical equipments at this method. Simulation results showed that it is feasible and effective that information fusion technology is applied on the state prediction for mechanical and electrical equipment. Information for decision-making integrated repeatedly by different forecasting methods, can greatly reduce the blindness of judgment and improve the accuracy of state prediction.

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