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Aluminum electrolytic capacitors are widely used in the converter systems of wind turbines. Though vital the capacitors are they are the “weak link” in wind turbines. Accurately predicting its remaining useful life is of great importance. However, traditional estimation methods are only applicable to the static operating conditions. This paper proposed an estimation method by introducing the virtual...
Blood flow, posture and phenotype (such as age, sex, smoking habit or physical activity) are closely related to vascular health. Episodic monitoring of the vascular system in clinical setting can lead to late diagnose. Inexpensive wearable devices for continuous monitoring of vascular parameters have been widely used, however, they often have limitations in data interpretation: changes in the environment...
In this paper, a monitoring method for calculating the malodor level by measuring the concentration of ammonia gas and hydrogen sulfide gas in the barn is established. This method is used to monitoring the level of malodor in the traditional henhouse and that with automatic ventilation and cleaning equipment. The monitoring results showed that in the livestock and poultry production process, timely...
This paper presents a real-time condition assessment procedure for high-voltage circuit breakers (CBs). The simulation of CBs can be fulfilled using the existing arc models. These models can be used to characterize the transient behavior of CB after each operation. The transient signals originated by electric arcs contain several harmonics. Arc voltages can be effectively utilized to detect anomalies...
The paper is devoted to the issue of energy efficiency monitoring in industry. The drawbacks of well-known statistical method based on Monitoring and Targeting systems are considered. An improved procedure of energy efficiency monitoring for industrial objects has been proposed. Appropriate procedure is based on the statistical modelling of energy consumption, including confidence intervals of mathematical...
This paper presents an on-line health monitoring technique for aerospace applications. We propose a new interdisciplinary approach towards the development of a reliable, non-invasive and accurate sensor for the detection of nano scale cracks on the body of airplane. Herein, the capacitive cantilever sensor is introduced to detect the weak airflow in proximity of nano-damage in aircraft. We also examine...
In today's world, structural development with reliability and integrity is an ever demanding process. Fault detection is the identification of normal healthy behavior of a system or process and recognition of any deviation from such normal behavior. Fault detection in structural systems provides important liability and financial advantages since it gives the decision-makers lead-time and flexibility...
In this paper, a physical activity monitor for monitoring of physiological parameters and the physical energy consumed, which is compatible with the stationary bicycle developed for conversion mechanical energy coming out in fitness centers to electrical energy is designed and implemented. To calculate the burned energy indirect method is used and duration of exercise, exercise speed and the number...
This paper outlines design and development of a real time noninvasive glucose monitoring system. The system comprises of a sensor mounted in a probe (comprises of an infrared LED and photo detector), signal processing unit and display unit. The system depends on the principle of Beers and Lambert law to detect changes in the absorption of infrared light by the glucose molecules in the blood. The changes...
In this paper we present a direct computational method for calculating thermal transfer impedances between two separate locations of a given physical structure aimed at the implementation into a field-solver based on the SUNRED (SUccessive Node REDuction) algorithm. The paper describes a further reduction method in complex frequency space based on Hankel singular values. We tested the method on a...
Based on the actual traffic detection data of the upstream and downstream video monitor blind area, Support Vector Machines (SVM) algorithm was used to realize the short-term traffic flow forecasting, and VISSIM simulation technology was used build the traffic blind area prediction model. The video blind spot detection algorithm with practical engineering application value and the traffic incident...
Guaranteeing the system workload within design bounds is a basic requirement for a real-time system. Design-time bounds are usually based on worst-case activation patterns and worst-case execution time. While using the worst-case assumptions for online monitoring can guarantee the system safety, it also introduces unexplored slacks due to tasks consuming less than their worst-case execution times...
This paper proposes the use of Ultra-Wide Band (UWB) technology to detect falls in smart home environment. A bi-static setup is proposed in which the UWB sensor including both transmitter and receiver is mounted over the ceiling to monitor and detect falls among other types of inertial movements such as slow/fast walking and lying down. The experimental results show that the proposed approach can...
Exascale computing represents the next leap in the HPC race. Reaching this level of performance is subject to several engineering challenges such as energy consumption, equipment-cooling, reliability and massive parallelism. Model-based optimization is an essential tool in the design process and control of energy efficient, reliable and thermally constrained systems. However, in the Exascale domain,...
Process mining research discipline offers a spectrum of techniques for analysing event logs. Event logs represent the history of process execution. This information can be used for monitoring, analysing and improving the operational processes. The currently available methods in process mining emphasise on constructing the static process model. These models depict various dimensions of the process...
A Smart-Eye platform is a technology that detects disasters (e.g., forest fire, flood) and responds them quickly. In the Smart-Eye, an unmanned aerial vehicle (UAV) is used to monitor the disasters in real time, where the UAV is equipped with a camera and multiple sensors, since it can go into hazards (i.e., unsafe areas to humans) cost-effectively. However, since the UAV has flight time of 10~25...
Self-adaptive software systems monitor their operation and adapt when their requirements fail due to unexpected phenomena in their environment. This paper examines the case where the environment changes dynamically over time and the chosen adaptation has to take into account such changes. In control theory, this type of adaptation is known as Model Predictive Control and comes with a well-developed...
The dual-band chipless RFID sensor is proposed to employ as a wireless material quality monitoring application. A printed perpendicular rectangular loop tag and a printed concentric rectangular loop tag are designed and optimized using the CST Microwave Studio program. The chipless RFID sensors are located on a material surface to determine qualities of a material under test. From numerical results,...
This paper proposes a design method of a support tool for detection and diagnosis of failures in discrete event systems (DES). The design of this diagnoser goes through three phases: an identification phase and finding paths and temporal parameters of the model describing the two modes of normal and faulty operation, a detection phase provided by the comparison and monitoring time operation and a...
The work presented in this paper focuses on the modeling of nonlinear hybrid systems taking into account the different operating modes. This approach is a multi-models approach or each model describes the system in a given mode. Each mode is represented by hybrid automata.
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