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The presented research is carried out within the framework of a global industrial project “Electro-Mechanical Actuator Health Management” with french company CERTIA. The objective is the realization of an auto-diagnosis embedded module for health monitoring and reconfiguration of Electro-Mechanical Actuator (EMA) including two operating modes: Test checking before taking off (evaluation and health...
With China Remote Sensing career advancement, a large number of independent researches and development satellites have launched. Among a new generation of high-resolution satellites, GaoFen-1 (GF-1) stands out. It sets high spatial resolution (2 m-16 m), multi-spectral and high temporal resolution (4-day) with 60 km-800 km swath in a fusion technology with strategic significance. In order to explore...
Designing an efficient monitoring and control system for smart grids, which include a variety of renewable energy resources, smart meters and communication systems, is a significant problem to have a safe and reliable power system. For this purpose, in this paper, an H∞ controller which has a highly robust performance has been designed to control and monitor/state estimate a smart grid. The H∞ controllers...
Power quality disturbances carry a large amount of information reflecting the operating conditions of the system and equipment, providing a data source for load modeling. Avoiding high complexity of computation in sampling side and waste of hardware, the compressed sensing (CS) theory is applied to processing the power quality monitoring signal. On the basis of the disturbance data processed by compressed...
Aeroengine is a complicated system in which the transmission components, rotating components, etc. all have lubrication requirements, so the aeroengine lubrication system has an important impact on the operation of the engine. The oil consumption rate is a direct response to the health of the lubrication system. When the oil consumption rate is too high or else too low, it shows that the oil system...
Aiming at the accurate prediction of APU residual life in civil aviation, Fusion of historical state performance monitoring data, a method of APU residual life prediction based on proportional hazards model (PHM) is proposed. This method first gives a life prediction algorithm based on PHM. Then, based on the historical performance degradation data and historical failure time data, the genetic parameters...
Most of the times Wireless Sensor Networks (WSNs) operate in hostile and unattended network environments, which makes the nodes vulnerable to node misbehaviour attacks. The applicability of conventional security methods, such as authentication, encryption and cryptography, to counter node misbehaviour attacks is debatable due to their incapability and involved cost. Trust aware secure mechanisms provide...
Continuous glucose monitoring (CGM) plays an important role in the treatment of diabetes. False information of glucose, caused by the faults of CGM, will reduce the treatment effect, and even endanger the lives of the diabetic patients. In order to avoid the impact of the glucose fluctuations, a classification-based method is used to detect CGM faults. However, the poor classification algorithm in...
Cloud computing provides an opportunity for individuals and organizations to extend their capabilities by offering elastic computing resources. Trust is a major challenge in cloud computing. With trust, cloud users (trustees) can select the best available resources from cloud service providers (trustors) who in turn can evaluate users' behaviors and recommend users to other services. In this paper,...
High quality requirements are set for automated production systems (aPS) as malfunctions can harm humans or cause severe financial loss. These malfunctions can be caused by faults in the control software of the aPS or its inability to correctly identify and handle unintended situations and errors in the technical process or hardware behavior. To achieve more dependable control software, software testing...
For long-lifetime industrial equipments, the online prognostics can predict the remaining useful life (RUL) of the systems in real time, which further offers effective references for the maintenance schedule. Most existing literatures with respect to the issue of prognostics only deal with one single degradation process or simply use the Copula functions to model the correlation structures for multi-component...
In this paper, the measuring principle of vibrating string transducer was studied and the mathematical model of its monitoring principle was deduced, then its application condition in tailings dam online monitoring system was demonstrated and successfully applied in the project. On the basis of comparison result between the data measured by vibrating string transducer and manual measurement, the author...
Structural Health Monitoring (SHM) provides a comprehensive assessment of structural state and damage based on monitoring structural parameters. It has definite practical significance in extending the service life of the structure, reducing the maintenance cost and improving the safety and reliability of the structure. In recent years, there were many aircraft faults founded in the aileron control...
There are many software-based tools that can be used to evaluate the radio-ecological impacts. Plume Gaussian is a simple dispersion model, easy to be implemented and developed further. This paper describes the application of Plume Gaussian model to simulate the dispersion of I-131 released around the Serpong Nuclear Area (Kawasan Nuklir Serpong, KNS). The software development consists: mathematical...
Tapioca starch is the important for Thai agricultural industry economy. According to the 4th industrial revolution, cyber-physical system becomes the key technology to enable vertical and horizontal automation system integration. This study aims to develop cyber-physical system based production monitoring for tapioca starch production. To achieve the service oriented architecture (SOA) based solution...
In this paper, a neural network-based method for leakage detection of a gas pipeline by using gas flow pattern is proposed. The pipe is divided in several segments and each segment is modeled by considering input/output pressure of the gas flow. The idea is to use a computer network based on Internet of Things (IOT) phenomena to gather all the required information for detection of the leakage point...
This paper presents a novel location strategy for traffic emission remote sensing system (TERSS) based on bus routes. For the purpose of reducing cost, the corresponding Hypergraph Model is established based on graph theory and the topological structure of urban road network. Then, the location problem of traffic emission remote sensing detectors is defined and transformed into finding the minimum...
In this paper, the application of independent component analysis (ICA) to statistical process monitoring is studied. This paper mainly focuses on studying on the fault detection and isolation principle based on the data model of ICA. Contributions of this paper are: (1) for the purpose of fault detection, two monitoring statistics are designated by detailed analysis on the data model of ICA; (2) a...
This paper deals with the fault diagnosis of nonlinear mechatronic system using bond graph and particle swarm optimization. The mechatronic system under investigation includes a DC motor with a load part. Nonlinear phenomena such as friction and backlash are considered in the monitored system. The objective of fault diagnosis is to determine the fault source and estimate its magnitude. In order to...
Given a collection of event-related documents, event ranking generates a list of ranked events based on the input query. Ranking news events, which takes event related news documents for the generation of ranked events, is both an essential research issue and important component for many security oriented applications, such as public event monitoring, retrieval, detection and mining. Previous related...
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