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Accurate measurement of the mill level is a key factor to improve the ball mill's productive efficiency, safety and economy. Aiming at solving the critical problem of the mill level soft sensor, feature extraction of the processing parameters, a novel method based on Deep Belief Network (DBN) is proposed. DBN is one of the deep learning methods, which focuses on learning deep hierarchical models of...
Online fault diagnosis has been a crucial task for industrial processes. Reconstruction-based fault diagnosis has been drawing special attentions as a good alternative to the traditional contribution plot. It identifies the fault cause by finding the specific fault subspace that can well eliminate alarming signals from a bunch of alternatives that have been prepared based on historical fault data...
Using panel data and DK fixed regression, this paper empirically researches the relationship between the board of directors characteristics and internal control quality based on a dataset consisting of listed companies of both Shanghai stock exchange from 2008 to 2012. We find that the internal control quality is significantly inversely associated with general CEO duality, board size, board meetings...
Rapid and accurate fault detection and diagnosis (FDD) is gaining importance for complex equipments because of the need to increase reliability and to decrease possible loss. In this paper, an intelligent fault diagnosis method is presented by using case-based reasoning (CBR) methodology to infer and classify various failures. Firstly, the case representation and the case base are established according...
The assessment of high-tech enterprise is of great importance to the government, because a region or even a country's economic development depends largely on the development of high-tech Enterprises in this region or country. According to the problem of Situation Assessment and Prediction of high-tech enterprises in the enterprise cooperation-competition network, the concepts of Brittle Point and...
Now the congestion of road has impacted on the city development seriously, and became the crux which constrained the city development. An intelligent urban traffic management system is needed urgently. In this paper an architecture of the intelligent collaborative urban traffic management system based on SOA and cloud computing is proposed. A collaborative service model based on SOA is given to realize...
A system which was proposed used temperature sensor, pressure sensor, infrared sensor and wireless communication network to monitor the productive process of boiler. Each wireless sensor module was spreaded each relevant position which needed to monitor in the productive process of boiler. The monitored data was sent to the master control box to analyse. The productive process was monitored by the...
An on-line monitoring technology of the central air conditioning energy efficiency is presented. Based on this technology, a monitoring system is designed. This system can achieve the real-time monitoring, optimization and adjustment of the energy efficiency of central air conditioners. Because of the improvement of the energy efficiency of central air conditioners and the depression of user energy...
The planning and scheduling problems of steelmaking - continuous casting - hot rolling (SCH) manufacturing process are hard to solve with traditional optimization approaches. As for the limitation of human ability, manual plans and schedules can not guarantee quality, robustness and material balance between processes. With the rapid development of computer simulation theories and virtual reality technologies,...
In this paper we propose a new approach that not only enforces the admissible constraints but also transforms inadmissible constraints into admissible ones. This approach is based on an efficient method that constructs new p-invariants. Through this method dealing with transitions is more convenience because creating new p-invariants in this way utilizes transitions to create a new p-invariant. Therefore,...
According to the communication protocol and structure characteristic of color touch screen DOP B105, MODBUS communication protocol was adapted to establish multi-touch screen communication networks, which help realizing data link and data share between a PLC and many multi-touch screens. This system was then applied to coals blending automatic shooting control system in Jiexiu Coal Washing Factory...
Fuzzy self-adaptive software systems are a kind of fuzzy-control-based systems that are proposed to deal with the emerging uncertainty problem in the software self-adaptation process. The construction of such systems has shown to be significantly more challenging than traditional systems as a lack of appropriate modeling tools. To address this problem, we introduce a modeling approach, entitled Fuzzy...
In order to overcome the disadvantages of boarding bridge's collapse and scraping the plane without early warning, a design of wireless fault early warning and monitoring system combining ZigBee wireless communication technology and variable sensors which are used to detect vibration, position, and faults, was proposed. The structure of network, the design of hardware and the software modules of the...
Wireless-sensor-network-based home monitoring for elderly activity behavior involves functional assessment of daily activities. In this paper, a mechanism for estimation of elderly postures through various sensors is presented. The data from the triaxial acceleration sensor placed on the waist and the pressure sensors placed under the insoles are consolidated by the coordinator to distinguish the...
Since the changes of raw material properties, external environment and other conditions, during practical industrial processes, multiple stable operation modes may arise, and between any two stable modes may undergo slowly changing transition modes. The existing multimode process monitoring methods haven't monitored dynamic characteristics of the transition modes efficiently. This paper adopts differential...
The traditional principal component analysis (PCA) method divides the variable space into two parts: Principal subspace and Residual subspace by orthogonal decomposition. It has been widely used in fault detection process, but it is difficult to interpret the modes of the fault because of model compound effect, and the ability to distinguish the pattern which is no significant is affected. In industrial...
Fault detection for multi-mode process are becoming a hotspot. By effective mode division and accurate online identification, a multi-mode hybrid data set can be transformed into multiple single-mode data sets, then the traditional PCA-based approach can still be adopt to process monitoring. However, in the treatment of “fast response” multi-mode procedure, the above idea does not seem to apply, which...
To acquire device data of lightning protection Equipment in time and accurately is an important issue to improve the level of building lightning protection and the intelligence of lightning protection equipment. This system uses Java technology and C/S network architecture to construct a monitoring and warning system. Firstly, it can realize data collection and management of lightning protection equipment...
Under the new historical condition, strengthening the communication and popularization of science and technology is both the requirement to implement the national development strategy and need for social development as well as the basis and key point for the development of popularization of science itself. Relevant data of five characteristic indexes, talents, funds, place, communication and activity...
UV/vis spectrometric quantification is widely applied in water quality monitoring systems. The UV/vis spectrum contains a huge amount of information about the water composition so that it can be used to measure the density of substances. However, the traditional methods to estimate densities using spectrum based on Lambert-Beer's law become invalid in UV/vis spectrum because of the strong correlation...
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