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In this paper, we address the problem of fault detection (FD) of chemical processes using improved generalized likelihood ratio test. The improved GLRT is the method that combines the advantages of the exponentially weighted moving average (EWMA) filter with those of the GLRT method. The idea behind the developed EWMA-GLRT is to compute a new GLRT statistic that integrates current and previous data...
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...
Specifying a Management Plane for the Software-Defined Networking (SDN) architecture is essential for monitoring, configuring and handling computer networks. Diverse solutions have proposed it but they share some shortcomings: incomplete representations of SDN elements, few human readable languages for managing networks, no communication management aimed at Internet Engineering and absence of supporting...
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...
With the rapid development of WEB applications, the demand for dynamically adjusting computing resources based on the load variation is increasing. However, most of the traditional WEB systems have limited ability to respond to load changes. In order to solve the problem, software self-adaptation technology has been applied to the resource management of WEB systems. Many researchers have tried to...
Infrastructure monitoring is an important class of wireless sensor network (WSN) applications. When the topology of a WSN designed for infrastructure monitoring is linear in nature, such as bridges, highways and pipelines, this kind of WSN is known to be linear WSN (LWSN). To achieve the high-reliable infrastructure monitoring services, hybrid LWSN has been designed where a limited number of support...
In this paper, we address a wiener-process degradation model to estimate the remaining useful lifetime of aero-engines. The measurement error and unit-to-unit variability are taken into account in the proposed degradation model and the RUL estimation is derived by the concept of first hitting time. Typically, the unknown parameters of the degradation model were estimated based on historical degradation...
In order to deal with the modeling and monitoring issue of large-scale industrial processes with big data, a distributed and parallel designed principal component analysis approach is proposed. To handle the high-dimensional process variables, the large-scale process is first decomposed into distributed blocks with a priori process knowledge. Afterward, in order to solve the modeling issue with large-scale...
Following the Service-Oriented Architecture, a large number of diversified Cloud services are exposed as Web APIs (Application Program Interface), which serve as the contracts between the service providers and service consumers. Due to their massive and broad applications, any flaw in the cloud APIs may lead to serious consequences. API testing is thus necessary to ensure the availability, reliability,...
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...
In recent years, the research about energy waste and CO2 emission reduction has gained a strong momentum, also pushed by European and national funding initiatives. The main purpose of this large effort is to reduce the effects of greenhouse emission, climate change to head for a sustainable society. In this scenario, Information and Communication Technologies (ICT) play a key role. From one side,...
The upcoming trend for mass-customisation and higher customer expectations are forcing industries on the one hand to shorten their product release cycles, and on the other hand to create products which are self-adapting to the need of the customers. Context sensitivity is a promising approach to achieve a high self-adaptability of such products, extended by services. The approach presented in this...
Manufacturing companies generate huge amounts of relevant data that, potentially, can help the decision makers to monitor and supervise the health status of the shop-floor. Many problems are present that prevent this monitoring, namely the identification of which data should be collected, how to execute this collection or how this data should be analysed and displayed to the user. This paper deals...
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...
Satellite can provide remote sensing data for disaster monitoring, and various sensors are generating huge volumes of remote sensing data for disaster management. It is urgent to store and process massive data acquired by satellite as fast as possible. A flexible and rapid service platform can realize integrated services from data acquisition, data production and product visualization. This article...
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...
In this work, we present a monitoring system for Self-Organizing Industrial Systems (SOIS). It is based on an anomaly detection approach which evaluates the movement of objects within a factory by putting them together from sub-trajectories. By introducing two metrics — relative user frequency and pathlet occurence per user — the existing method is extended so that not only anomalous trajectories...
Industry 4.0 proposes the integration of the new generation of ICT solutions for the monitoring, adaptation, simulation, and optimisation of factories. With the democratization of sensors and actuators, factories and machine tools can now be sensorized and the data generated by these devices can be exploited, for instance, to optimize the utilization of the machines as well as their operation and...
Air pollution poses disproportionate health hazard in developing countries, due to juxtaposition of industrial units and residences. While excessive emission is routinely detected, enforcement of emission norms remains rare due to present technological limitations in pinpointing sources. To fill this gap, we propose a method of source localization and emission rate estimation via AERMOD-based simulation...
The traffic monitoring system is an imperative tool for traffic analysis and transportation planning. In this paper, we present WiTraffic: the first WiFi-based traffic monitoring system. Compared with existing solutions, it is non-intrusive, cost- effective, and easy-to-deploy. Unique WiFi Channel State Information (CSI) patterns of passing vehicles are captured and analyzed to effectively perform...
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