This paper presents modeling of the 500 kV transmission line located between Bang-Saphan 2 (BSP2) and Chom-Bung (CBG) substations, Thailand. The network is modeled based on the transient simulation program- PSCAD/EMTD...
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This paper presents modeling of the 500 kV transmission line located between Bang-Saphan 2 (BSP2) and Chom-Bung (CBG) substations, Thailand. The network is modeled based on the transient simulation program- PSCAD/EMTDC. The equivalent circuit of BSP2 and CBG is obtained from the actual parameters. The initial condition parameters are verified by PSS/E, an electrical simulation program. After the modeling has been established, a fault analysis is done by using PSCAD/EMTDC in order to study the system response when fault constrains are applied. This paper has illustrated that how the information on the sampled voltage and current waveforms derived from PSCAD/EMDTC modeling and simulation can be used for fault detection, classification and location.
This paper describes the implementation of Wavelet Transform and Spectral Energy analysis on samples of simulated voltage and current waveforms obtained from PSCAD/EMTDC for each of the all possible fault scenarios in...
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This paper describes the implementation of Wavelet Transform and Spectral Energy analysis on samples of simulated voltage and current waveforms obtained from PSCAD/EMTDC for each of the all possible fault scenarios in a modeled 500 kV transmission network. The fault detection and classification of each fault scenarios is determined based on results of the voltage and current waveforms analysis in time and wavelet domains. The analysis is carried out including variation in fault types, inception angles and locations with a practically arbitrarily assumed fault duration. The analytical results shows that the described technique is highly dependable and is able to detect and classify different kinds of faults along a transmission line whatever is the fault type, inception angle and location.
A novel spectroscopic personal radiation device (SPRD) with sub-milliwatt power consumption is proposed. The SPRD is based on a compact, low-power, high-gain silicon photomultiplier (SiPM) coupled to a high-light-yiel...
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A novel spectroscopic personal radiation device (SPRD) with sub-milliwatt power consumption is proposed. The SPRD is based on a compact, low-power, high-gain silicon photomultiplier (SiPM) coupled to a high-light-yield CsI(Tl) scintillator. The SiPM is operated in a special mode, in which its output is voltage rather than charge. In this mode, the SiPM output becomes higher and rises more slowly than in the charge amplification mode. Such a mode allows us to use a lower-frequency front-end amplifier with a lower gain and lower power consumption. Moreover, the very beginning of the slower, large-amplitude pulses is easier to detect with a comparator. At each detection event, the rest of the SPRD circuitry is activated only for the time needed for the pulse-processing. Because at background the radiation count rate is very low, some tens per second, and the duration of the signal-processing is very short, about 10 μs, the power-demanding SPRD circuitry is not activated most of the time, and its average power consumption is very low. Proper matching of the scintillator and the SiPM helps us to achieve the required gain from the radiation sensor with a relatively low-power, low-gain front-end amplifier. Optimizing the input impedance of the front-end amplifier helps us to obtain the required SiPM output amplitude and shape. Because it takes some time for the signal processing circuit to be activated, an additional passive delay and shaping circuit is used. An experimental model of this device is built, and tested. It is superior to other devices due to its very low power consumption, its portability, and its non-sensitivity to microphonics. The power consumption of the SPRD is about 0.3 mW by the radiation sensor and about 0.3 mW by the electronics (for a total of 0.6 mW as compared to above 20 mW consumed by conventional spectroscopic radiation devices). The power consumption has been measured at count rates up to a few hundreds per second, which are much higher than e
This paper presents a surface electromyographic (sEMG)-based, optimal control strategy for a prosthetic hand. System Identification (SI) is used to obtain the dynamic relation between the sEMG and the corresponding sk...
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ISBN:
(纸本)9781424441211
This paper presents a surface electromyographic (sEMG)-based, optimal control strategy for a prosthetic hand. System Identification (SI) is used to obtain the dynamic relation between the sEMG and the corresponding skeletal muscle force. The input sEMG signal is preprocessed using a Half-Gaussian filter and fed to a fusion-based Multiple Input Single Output (MISO) skeletal muscle force model. This MISO system model provides the estimated finger forces to be produced as input to the prosthetic hand. Optimal tracking method has been applied to track the estimated force profile of the Fusion based sEMG-force model. The simulation results show good agreement between reference force profile and the actual force.
Achieving global asymptotic stabilization of rigid-body attitude is impossible using smooth feedback;however, this obstruction can be overcome using a hybrid controller that coordinates a "synergistic" famil...
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Achieving global asymptotic stabilization of rigid-body attitude is impossible using smooth feedback;however, this obstruction can be overcome using a hybrid controller that coordinates a "synergistic" family of potential functions and their corresponding feedbacks. In this paper, we show that it is impossible to construct a synergistic family of potential functions from the widely used class of "modified trace functions," despite the fact that one can choose a subset of these functions whose only common critical point is the identity element. With this as motivation, we introduce a parametrized diffeomorphism that is capable of altering the critical behavior of potential functions and generating a synergistic family, paving the way for global asymptotic attitude stabilization of rigid-body attitude by hybrid feedback.
In this paper, a point-based Markov Decision Process (QMDP) algorithm is used for robust single-lane autonomous driving behavior control under uncertainties. autonomous vehicle decision making is modeled as a Markov D...
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In this paper, a point-based Markov Decision Process (QMDP) algorithm is used for robust single-lane autonomous driving behavior control under uncertainties. autonomous vehicle decision making is modeled as a Markov Decision Process (MDP), then extended to a QMDP framework. Based on MDP/QMDP, three kinds of uncertainties are taken into account: sensor noise, perception constraints and surrounding vehicles’ behavior. In simulation, the QMDP-based reasoning framework makes the autonomous vehicle perform with differing levels of conservativeness corresponding to different perception confidence levels. Road tests also indicate that the proposed algorithm helps the vehicle in avoiding potentially unsafe situations under these uncertainties. In general, the results indicate that the proposed QMDP-based algorithm makes autonomous driving more robust to limited sensing ability and occasional sensor failures.
We give a simple, explicit example of a two-dimensional polynomial vector field that is globally asymptotically stable but does not admit a polynomial Lyapunov function.
ISBN:
(纸本)9781612848006
We give a simple, explicit example of a two-dimensional polynomial vector field that is globally asymptotically stable but does not admit a polynomial Lyapunov function.
The fault diagnosis method based on grey relation analysis needs choosing reference pattern vectors which have a strongly ability of classify and identifying fault, otherwise the veracity and reliability of fault diag...
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The fault diagnosis method based on grey relation analysis needs choosing reference pattern vectors which have a strongly ability of classify and identifying fault, otherwise the veracity and reliability of fault diagnosis can be greatly reduced. On basis of traditional grey relation analysis, multi-samples were adopted as reference signals and the relation indexes between multi-sample reference signals and the signal to be diagnosed are calculated by grey relation analysis method and normalized as the mass or basic probability assignment function which are fused to realize fault diagnosis in term of D-S evidence theory. The method provided in this paper is applied to the fault diagnosis of some reducer case operating state. The simulation result is shown that the reliability of fault diagnosis can be improved by fusion and the uncertainty of fault diagnosis depending on single reference pattern vector can be eliminated too.
Grey multiple attribute fusion method is put forward in this paper and applied to condenser fault recognition in which grey relation analysis is combined with multiple attribute decision making. First the state parame...
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Grey multiple attribute fusion method is put forward in this paper and applied to condenser fault recognition in which grey relation analysis is combined with multiple attribute decision making. First the state parameters of condenser are fuzzed and use traditional relation analysis method to calculate the relation coefficients between pattern samples and the samples to be diagnosed. The classical domain and joint domain of the fault types are determined by extension interval. The weight value is calculated by proportion coefficient method to be introduced into traditional grey relation index calculation. The best relation index is obtained by optimizing resolution ratio to ensure the stability of relation index space. It is verified that the method provided in this paper can improve the accuracy and reliability of condenser fault recognition by the simulation examples.
In previous work we reported that porous silicon (PS) films formed using a dilute HF:HNO3 chemical etch on polycrystalline, implant damaged single crystal, or amorphous starting material have luminescent characteristi...
In previous work we reported that porous silicon (PS) films formed using a dilute HF:HNO3 chemical etch on polycrystalline, implant damaged single crystal, or amorphous starting material have luminescent characteristics that differ from PS fabricated on single crystal silicon1. Polycrystalline and implant damaged porous silicon exhibits brighter luminescence compared to single crystal silicon etched under identical conditions. No photoluminescence is detected from the porous amorphous silicon. In this work these effects are examined using HF:NaNO2 solutions with freely available NO2. The accelerated etching effects from work damage are reduced, and the PS from polycrystalline and implant damaged silicon luminesce with the same intensity as the PS from single crystal silicon. Again, etched amorphous silicon does not luminesce. TEM and EDX porosity measurements are used to determine the differences in structure and etching characteristics between the luminescent and non-luminescent materials.
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