Computation Model and Influencing Factors Analysis for Dynamic Characteristic of Underwater Monitoring Platforms

The computational model for underwater monitoring platform with drag force, normal lift along flow and buoyancy was formulated aimed at dynamic characteristic by the finite computing method of structure vibration modal on flow field and infinitesimal method idea, and taking into account the influence of flow force to structures dynamic characteristic. Discuss the influencing factors for natural frequency of underwater monitoring platform by numerical analysis method. Natural frequency of buoy was far from the vortex release frequency by adjusting the influencing factors. This method can effectively decrease the vibration by resonance and it has important significance to design the underwater monitoring platform.

Download Full-text

A novel approach of fault-influencing factors analysis for high-voltage switchgears quality supervision based on industrial big data

Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture ◽

10.1177/0954405419839908 ◽

2019 ◽

Vol 233 (14) ◽

pp. 2531-2546 ◽

Cited By ~ 1

Author(s):

Xianguang Kong ◽

Jiantao Chang ◽

Pei Wang ◽

Siyi Gong ◽

Yabin Shi ◽

...

Keyword(s):

Big Data ◽

Qualitative Analysis ◽

Influencing Factors ◽

High Voltage ◽

Occurrence Probability ◽

Analysis Method ◽

Factors Analysis ◽

Industrial Big Data ◽

Discrete Interval ◽

Interval Value

Fault-influencing factors analysis is an important part of the quality supervision process. There are double functions for high-voltage switchgears that switch off and protect electric circuits in power transmission lines. Such devices have serious impact on power grid–operating efficiency, factory operation, and resident life, which will cause economic losses. As it was difficult for traditional methods to analyze fault-influencing factors accurately and comprehensively, a novel method based on industrial big data was proposed to analyze high-voltage switchgears fault-influencing factors in the process of quality supervision in this article, which integrated the qualitative and quantitative analyses method. In this model, the Classification Based on Multiple Class-Association Rules based on Gaussian Mixture Model as the qualitative analysis method was adapted to analyze the whole life cycle of fault-influencing factors of high-voltage switchgears comprehensively, and supplied fault-influencing factors with discrete interval value ranges. The logistic regression method based on qualitative analysis was constructed to calculate fault occurrence probability quantitatively, including the single-fault occurrence probability and the multiple-faults joint occurrence probability. In addition, the single-fault occurrence probability was used to modify the discrete interval value ranges calculated by the qualitative analysis method, which could make the ranges more accurately. Consequently, the proposed method could provide important reference for high-voltage switchgears operation maintenance, and it would be possible to design accurate maintenance plans before equipment failure. The final instance demonstrates the effectiveness of the proposed methodology.

Download Full-text

Comparison and Analysis of Prediction Methods for Water Consumption per Ten Thousand Yuan Industrial Added Value

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1073-1076.2653 ◽

2014 ◽

Vol 1073-1076 ◽

pp. 2653-2658

Author(s):

Zhi Jun Yan ◽

Ming Yue Zhang ◽

Chun Xiao Xu ◽

Hai Tao Zhao ◽

Yue Ping Tang ◽

...

Keyword(s):

Water Management ◽

Influencing Factors ◽

Water Consumption ◽

Management System ◽

Added Value ◽

Specific Situation ◽

Water Efficiency ◽

Analysis Method ◽

Water Management System ◽

Factors Analysis

Water consumption per ten thousand yuan industrial added value (WCPIAV) is the assessment indicator to implement the most stringent water management system to control water efficiency. This paper proposes trend analysis method, elasticity coefficient analysis method and influencing factors analysis method to predict WCPIAV in Jiangsu province, the experimental areas where implement the most stringent water management system. The results show that different methods predict well in different cities, influencing factors analysis method works better than the other two methods. An appropriate method should be selected depending on the specific situation.

Download Full-text

Influencing Factors Analysis on Comfort of New-Type Precast Assembly Diaphragm

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.578-579.711 ◽

2014 ◽

Vol 578-579 ◽

pp. 711-716

Author(s):

Chong Fang Sun ◽

Shu Ting Liang ◽

Xiao Jun Zhu

Keyword(s):

Finite Element ◽

Natural Frequency ◽

Influencing Factors ◽

Evaluation Criteria ◽

Simulation Method ◽

Factors Analysis ◽

Comfort Evaluation ◽

Element Simulation ◽

New Type ◽

Design Proposal

The paper selected natural frequency and peak acceleration as comfort evaluation criteria. The author tested the new floor comfort under the human-induced loads. The author analyzed new floor comfort by selecting the worst possible scenarioes. The result indicates that the new floor satisfies the comfort requirement. The comparison of test value, theoretical value and finite element value of natural frequency proved that the finite element simulation was reasonable. The author analyzed comfort influencing factors of 7m×7m floor with the same simulation method and proposed a design proposal.

Download Full-text