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.

The Research on many Issues in Tax Sources Economy Management under the GIS Technology

2014 ◽  
Vol 651-653 ◽  
pp. 1670-1673 ◽  
Author(s):  
Hao Sheng
Keyword(s):  
Information System ◽  
Development Trend ◽  
Gis Technology ◽  
Economic Management ◽  
Space Management ◽  
Efficient Management ◽  
Tax Management ◽  
Management Technology ◽  
New Type ◽  
The Development Trend

The informationization of tax management is the development trend of tax industry, with the development of GIS technology, that’s to say geographic information system, which is a new type of geographic data space management technology by using GIS we can achieve the good efficient management in tax economic management, but there are also many problems caused by using GIS, such as making it hard for the tax authorities to implement effective management on similar revenue, blurred tax source management object, problems on tax silver cooperation and so on. This paper analyzes the advantages and drawbacks in the application of GIS technology, and in order to solve these problems, designing a tax sources economy management information system which has functions of basic query analysis and auxiliary decision functions. Along with the development of computer technology and management system, the level of tax informationization will continuously improve.

scholarly journals The Research of Autonomous In-orbit Health Management System for China’s Manned Spacecrafts

2019 ◽  
Vol 257 ◽  
pp. 01006
Author(s):  
Linhou Bai ◽  
Hong Yang ◽  
Ke Liang
Keyword(s):  
Management System ◽  
Information Structure ◽  
Health Management ◽  
Space Station ◽  
Development Trend ◽  
Manned Spacecraft ◽  
Management Objectives ◽  
Management Modes ◽  
The Development Trend

The development trend of manned spacecraft is long-term in-orbit flight and long-term astronaut’s residency. Under the condition of limited TT&C resource, the autonomous health management of spacecraft is a critical and mandatory system to ensure the safety of the astronauts and platform. Based on the discussion of the autonomous health management objectives and management modes of manned spacecraft and combining the distribution and hierarchical information structure of China’s manned spacecraft, this paper elaborates an autonomous health management system. This autonomous health management system adopts a by-level safety threshold management method by establishing a mapping database between different important risk safety thresholds and system safety modes. When the key parameters reach different pre-set thresholds, the system autonomously downgrades and reconstructs the aircraft functionalities in the event of failure to realize optimal auto-processing and solves the issue between randomness of auto-processing and task continuity. The research has been applied to the China’s Space Station.

scholarly journals A Survey on Ship Intelligent Cabin

2020 ◽  
Author(s):  
Shuli Jia ◽  
Fuxin Wang ◽  
Mengchao Dong ◽  
Liyong Ma
Keyword(s):  
New Technologies ◽  
Hot Spot ◽  
Rapid Development ◽  
Development Trend ◽  
Data Driven ◽  
Sensor Data ◽  
Modern Information Technology ◽  
The Future ◽  
Artificial Intelligence Technology ◽  
The Development Trend

At present, intelligent ship has become a new hot spot of international maritime research and development. In order to achieve the purpose of safety, reliability, energy conservation, environmental protection, economy and efficiency, Intelligent ship integrates modern information technology, artificial intelligence technology and other new technologies with traditional ship technology. In this essay, the rapid development of intelligent cabin technology in recent years is surveyed. The intelligent cabin technology and the development trend of the current technology is analyzed, and the possible development direction in the future is pointed out. Collection, transmission and storage of sensor data are summarized. The development of status perception of cabin equipment and environment is discussed. Data-driven intelligent applications are summarized, and the development in the future is discussed. Intelligent cabin system is a data driven information system, which involves data acquisition, communication, storage, analysis, visualization and other rich content. Using the data provided by intelligent ship, more and more intelligent applications will be developed for ships.

scholarly journals Sports and Health Management Using Big Data Based on Voice Feature Processing and Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Lina Sun ◽  
Mingzhi Li
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Health Management ◽  
Low Frequency ◽  
Development Trend ◽  
Feature Processing ◽  
Speech Feature ◽  
Personalized Health ◽  
The Development Trend ◽  
The Voice

With the support of big data and information technology, various sectors such as sports, health, and medical industry can realize the integration and readjustment of the existing resources, which improve the operation efficiency of the industry and tap its huge potential. With the advancement in big data analysis, voice features, and Internet of Things (IoT), personalized health management is becoming the development trend and breakthrough of sports and health industry. The application of big data will tap out the huge potential of the sports and health industry. In this paper, we have used the Mel-requency cepstrum coefficient as the speech feature processing method. When the linear frequency is transformed to the Mel frequency by Fourier transform, the calculation accuracy will decrease with the increase in the frequency, and the low-frequency signal will be retained to improve the anti-noise ability. With further study of the voice feature processing and IoT model of big data’s sports and health management, a vector addition regression was developed to compare the two real scoring features of the processing results that pave the way for further analysis and result evaluation. Through experimental verification, it is proved that the method in this paper can better learn the speech features. At the same time, with the introduction of noise reduction, the big data of speech recognition in sports health management has a stronger robustness and improves the overall system performance.

scholarly journals Research on health management technology of ship cabin equipment

2021 ◽  
Vol 1976 (1) ◽  
pp. 012057
Author(s):  
Jie Zhuo ◽  
Maopu Wu ◽  
Qingxin Sun
Keyword(s):  
Health Management ◽  
Management Technology

scholarly journals The development trend of AC-style PDPs

1998 ◽  
Vol 82 (Appendix) ◽  
pp. 311-311
Author(s):  
Tetsuji Okajima ◽  
Chizuka Tani
Keyword(s):  
Development Trend ◽  
The Development Trend

scholarly journals Experimental Study on Wake Evolution of a 1.5 MW Wind Turbine in a Complex Terrain Wind Farm Based on LiDAR Measurements

2020 ◽  
Vol 12 (6) ◽  
pp. 2467 ◽  
Author(s):  
Fei Zhao ◽  
Yihan Gao ◽  
Tengyuan Wang ◽  
Jinsha Yuan ◽  
Xiaoxia Gao
Keyword(s):  
Wind Speed ◽  
Wind Shear ◽  
Wind Farm ◽  
Wind Farms ◽  
Field Measurements ◽  
Development Trend ◽  
Asymmetric Distribution ◽  
Lidar Measurements ◽  
Wind Characteristics ◽  
The Development Trend

To study the wake development characteristics of wind farms in complex terrains, two different types of Light Detection and Ranging (LiDAR) were used to conduct the field measurements in a mountain wind farm in Hebei Province, China. Under two different incoming wake conditions, the influence of wind shear, terrain and incoming wind characteristics on the development trend of wake was analyzed. The results showed that the existence of wind shear effect causes asymmetric distribution of wind speed in the wake region. The relief of the terrain behind the turbine indicated a subsidence of the wake centerline, which had a linear relationship with the topography altitudes. The wake recovery rates were calculated, which comprehensively validated the conclusion that the wake recovery rate is determined by both the incoming wind turbulence intensity in the wake and the magnitude of the wind speed.

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