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A stringent requirement of government policy on Carbon Monoxide (CO) and Nitrogen Oxide (NOx) emissions leads to the introduction of dry-low emission (DLE) gas turbines. Although Rowen's model is well established for a gas turbine dynamic study, its utilization for a DLE representation has not been extensively studied. Thus, the objective of this research is to study the suitability of using the Rowen's...
Temperature has a considerable influence on the shallow water. Due to important economic value and relation to human activity, the on-line and real-time water temperature monitoring is of great scientific and practical significance. This paper has performed an experiment of a high frequency acoustic temperature measurement. Reciprocal sound transmission and the signal cross-correlation method were...
As technology evolves, the Internet of Things (IoT) is gaining more importance for constituting a foundation to reach better connectivity between people and things. For this to happen, certain strategies and processes are considered to enhance and grant optimal interoperability between the heterogenous devices of a typical IoT network. Two major key aspects of these networks are autonomous error recovery...
Prediction of fouling in power plant heat exchanger is greatly influenced by the periodic fouling process and change in dynamics of the operational parameters. In order to address this, a prediction model using Nonlinear Auto Regressive with eXogenous inputs (NARX) neural network is proposed to monitor cleanliness factor. The experimental results demonstrate that the proposed model can predict the...
High-intensity focused ultrasound (HIFU) is increasingly getting in focus of interest for polymer layer joining (Liebler 2008). Previous studies investigated the heating effect in polymer materials induced by HIFU with liquid sound conductor (Bo Liu et al. 2013) and with solid sound conductor (Oehm et al. 2016). An improved understanding of the physical mechanisms of HIFU to heat thin polymer layers,...
Modern, densely instrumented, smart buildings generate large amounts of raw data. This poses significant challenges from both the data management perspective as well as leveraging the associated information for enabling advanced energy management, fault detection and control strategies. Networks of intelligent sensors, controllers and actuators currently allow fine grained monitoring of the building...
The correlation between degradation-induced changes in two important indicators of mechanical properties, namely elongation at break (EAB) and indenter modulus (IM), is examined for flame-retardant ethylene propylene rubber (FR-EPR), silicone rubber (SiR), flame-retardant crosslinked polyethylene (FR-XLPE), and XLPE. The samples were degraded by heat or concurrently by heat and radiation. In the case...
In this work, the terahertz (THz) absorption spectra of a typical protein BSA (Bovine Serum Albumin) in aqueous solution were measured under different pH conditions. The temporal changes in the absorption spectra were analyzed using the two-dimensional correlation spectroscopy (2DCOS). By comparing the cross peaks corresponding to the different pH values, it can be obtained that the conformation is...
Climate warming affects agricultural climate resources, especially the spatial and temporal distribution of heat resources. This paper analyzes the meteorological data in the meteorological stations in arid regions of northwest China and studies the changes and characteristics of temperature, frost and accumulated temperature in arid regions of Northwest China in recent 50 years. The study shows that...
Data validation and reconciliation (DVR) plays key role in industries because it uses process information and statistical methods to estimate correct measurements from the observed data. DR is very effective when measurement is free from gross error. Data observed from chemical processes can be serially correlated. Serial correlation in data can arise when a process, takes time to adjust, is exposed...
The applications of specklegram analysis techniques have been developed recently. In this paper, we represent a fiber-optic method to measure the temperature through the analysis of output specklegrams. The proposed all-fiber device excites higher-order modes through splicing a multimode fiber (MMF) to a single-mode fiber (SMF) with a core offset. The basic principle of the sensor is based on determining...
The paper addresses the problem of efficiently monitoring environmental fields in a smart building by the use of a network of wireless noisy sensors that take discretely-predefined measurements at their locations through time. It is proposed that the indoor environmental fields are statistically modeled by spatio-temporal non-parametric Gaussian processes. The proposed models are able to effectively...
The performance or output current of a transformer is subject to the load that it is connected to, which may be full, empty, or unusually excessive. Sometimes an overload may be unavoidable, such as in the case of a full load or an above normal load under which the transformer may carry an excessively high current and may result in a huge loss in the form of excessive heat. This will undoubtedly affect...
Spatially entangled photon states are used in experiments addressing fundamental properties of quantum mechanics as well as practical applications [1]. Thereby, the use of these states demands for time-saving detection mechanisms, capable of measuring coincidences between spatially separated photons with high spatial and temporal resolution. In this work, we demonstrate coincidence detection of spatially...
The radiation pressure interaction of light with a mechanical oscillator leads to a fundamental disturbance on the oscillator. This disturbance — measurement backaction — is due to the quantum fluctuations in the amplitude of the light. When the phase of the light is detected to infer the mechanical position, quantum fluctuations in the phase — measurement imprecision — leads to a further uncertainty...
Big Data impose new research challenges in power system industry. Volume and variety of Big Data are crucial parameters for the validation of data processing techniques. Due to the rapid augmentation of Photovoltaics (PVs) installations in many countries the volume of the collected on-site data continually increases. The scope of the present paper is to provide an analysis on an amount of PV power...
In this paper, a piecewise bipolar junction transistor (BJT) process spread compensation scheme is presented. By exploiting the strong correlation between the BJT saturation current and the piecewise base recombination current, the process spread and proportional-to-absolute-temperature (PTAT) drift of the base-emitter voltage (Vbe) can be reduced over a wide temperature range. Fabricated in standard...
While wireless sensor networks (WSNs) have been traditionally tasked with single applications, we have witnessed the emergence of multiapplication paradigms in the sensor network field such as Shared Sensor Networks and Virtual Sensor Networks. As the number of applications in a WSN increases, it also increases the WSN complexity and the amount of required transmitted messages. A major requirement...
The accurate measurement of wet steam has great significance for energy conservation and sufficient utilization. However, subject to the complex flow characteristics of vapor steam and discrete droplets, there are many problems in wet steam metrology. A dual-parameter model combining V-cone and vortex flowmeters was proposed to calculate mass flowrate of wet steam. The vapor mass flowrate is obtained...
It is common in engineering to model time-dependent variables as diffusion process represented by stochastic differential equations. This is usually helpful when empirical datasets describing time evolution of variables are available. This helps in accurate estimation of parameters of the stochastic differential equation which describes the dynamic system. Additionally, it helps in characterization...
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