scholarly journals Leakage current signal parameter of various surface roughness conditions of field-aged polymer insulators

2020 ◽  
Vol 20 (2) ◽  
pp. 638
Author(s):  
A. Din ◽  
M. A. M. Piah ◽  
A. R. Abdullah ◽  
N. Norddin ◽  
F. S. Abdullah
Keyword(s):  
Surface Roughness ◽  
Leakage Current ◽  
Stress Test ◽  
Harmonic Distortion ◽  
Current Signal ◽  
Signal Parameter ◽  
Electrical Stress ◽  
Signal Parameters ◽  
Polymer Insulators ◽  
Using Data

This paper presents the signal parameter of leakage current based on various surface roughness degradation conditions for field-aged high voltage polymer insulators. The arithmetical mean of surface roughness is measured accordingly, and also the surface leakage current signal is captured effectively using data acquisition device via the electrical stress test. With the variation of field-aged insulators ages which include 6-year, 12-year and 18-year, they have been mechanically tested using a surface roughness tester along with electrical testing by using the standard method of inclined plane test. The surface roughness data are recorded meanwhile the leakage current signals are further analyzed using Spectrogram to extract the signal parameter. These include the instantaneous root mean squared current, the instantaneous total harmonic distortion, the instantaneous total non- harmonic distortion and the instantaneous total waveform distortion. From the results of the comparative study, it has shown that the statistical quantity of leakage current signal parameters is responding in an increasing trend with respect to the incremental of the surface roughness. Thus, the signal parameters of the leakage current are able to indicate the degradation conditions of insulator surface.

A Behavioral-Analytic Model for Assessing Stress in Firefighters

2021 ◽  
pp. 014544552098613
Author(s):  
Bailee B. Schuhmann ◽  
Sarah N. Henderson ◽  
Ryan A. Black ◽  
Vincent B. Van Hasselt ◽  
Kristin Klimley Margres ◽  
...  
Keyword(s):  
Stress Reduction ◽  
Discriminant Validity ◽  
Stress Test ◽  
The United States ◽  
Fire Service ◽  
Analytic Model ◽  
Negative Effects ◽  
Internal Reliability ◽  
Convergent And Discriminant Validity ◽  
Using Data

Research has documented a number of acute and chronic stressors unique to the fire service. Due to the rise in mental health concerns in firefighters, there has been increased awareness of the negative effects of unmanaged stress. The present study employed a behavioral-analytic model to construct a brief screening measure of stress for this population: the Firefighter Assessment of Stress Test (FAST). Psychometric properties of the FAST were evaluated using data from active-duty firefighters throughout the United States. Results indicated the FAST has good internal reliability ( α = 0.89), as well as good convergent and discriminant validity. Also, the factor structure of the FAST revealed three significant subscales reflective of stress associated with responding to calls, administrative difficulties, and being overworked. Scoring and interpretation guidelines were established to suggest when further assessment is warranted. The FAST offers a brief and valid method of self-assessment of current stress levels in firefighters. Information obtained from the FAST (i.e., overall stress level and domains) has the potential to facilitate more immediate identification and recognition of stress in firefighters than what has been possible to date. Moreover, heightened awareness of stress and its effects will hopefully culminate in expanded efforts directed toward stress reduction and intervention for firefighters and their families.

scholarly journals Power quality of dual two-level inverter fed open end winding induction motor

2020 ◽  
Vol 18 (2) ◽  
pp. 688
Author(s):  
Hayder Ali Mohamed ◽  
Hanan Mikhael D. Habbi
Keyword(s):  
Induction Motor ◽  
Harmonic Distortion ◽  
Voltage Source ◽  
Current Signal ◽  
Space Vector Pwm ◽  
Dc Voltage ◽  
Common Mode Voltage ◽  
Voltage Quality ◽  
Open End Winding

<p><span>This paper presents the minimization of the total harmonic distortion (THD) of the current signal for open-end winding induction motor by using dual two-level inverter. In order to obtain a good value of THD, the space vector PWM has been used for switching the dual two-level inverter to improve the output voltage quality, gets a low common mode voltage, reduce the execution time, and to save the memory capacity. The proposed scheme uses two different DC voltage source with two two level inverter in order of minimizing the number of components. As well as it is an important to utilize the energy which increases the application of dual inverter in microgrids. All simulation results are obtained using Matlab/Simulink. </span></p>

scholarly journals Surface-roughness effect on capacitance and leakage current of an insulating film

1999 ◽  
Vol 60 (12) ◽  
pp. 9157-9164 ◽  
Author(s):  
Y.-P. Zhao ◽  
G.-C. Wang ◽  
T.-M. Lu ◽  
G. Palasantzas ◽  
J. Th. M. De Hosson
Keyword(s):  
Surface Roughness ◽  
Leakage Current ◽  
Roughness Effect

Fiber-Optic Infrared Reflection Absorption Spectroscopy for Trace Analysis on Surfaces of Varying Roughness. Part II: Acetaminophen on Stainless Steel

2008 ◽  
Vol 62 (3) ◽  
pp. 312-318 ◽  
Author(s):  
Benjamin B. Perston ◽  
Michelle L. Hamilton ◽  
Peter W. Harland ◽  
Mary A. Thomson ◽  
Peter J. Melling ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Stainless Steel ◽  
Absorption Spectroscopy ◽  
Sodium Dodecyl ◽  
Grazing Angle ◽  
Nonlinear Behavior ◽  
Infrared Reflection Absorption Spectroscopy ◽  
Surface Finishes ◽  
Infrared Reflection ◽  
Using Data

Investigations of the effects of surface roughness on the utility of grazing-angle Fourier transform infrared reflection absorption spectroscopy (IRRAS) as a method for quantifying trace contamination of metal surfaces have been extended to acetaminophen, a model active pharmaceutical agent, on 316 stainless steel. The effects are more complicated than for the surfactant sodium dodecyl sulfate (SDS) on stainless steel; they include a strong surface-finish dependence of sensitivity and nonlinear behavior at surface loadings above ∼1–2 μg cm−2. Using data from samples in the loading range 0–0.5 μg cm−2, unbiased partial least squared calibrations can be readily achieved for individual surface finishes with detection limits of LD ≈ 0.15 μg cm−2. However, as found for SDS on stainless steel, models built using data from samples of mixed surface roughness are more problematic.

Quality Control of Micro-Drilled Hole Wall of PWBs Using Data-Mining

2005 ◽  
Author(s):  
Eiichi Aoyama ◽  
Toshiki Hirogaki ◽  
Keiji Ogawa ◽  
Tsuyoshi Otsuka ◽  
Katsutoshi Yamauchi
Keyword(s):  
Data Mining ◽  
Surface Roughness ◽  
Present Report ◽  
Weft Yarn ◽  
Hole Drilling ◽  
Printed Wiring Boards ◽  
Factors Affecting ◽  
Hole Wall ◽  
Using Data ◽  
Through Hole

In the manufacturing of printed wiring boards (PWBs), various methods have been developed in order to improve the circuit packaging density. Micro-drills are generally used to make smaller diameter through-holes in PWBs, which are desired for the miniaturization of equipment. However, a problem has emerged in that copper plating degraded by hole drilling can reduce the reliability of the electrical connection between layers. The surface roughness of drilled hole wall is one of the important factors affecting the plating quality. The purpose of the present report is to apply data-mining to the surface roughness data of drilled through-hole walls, and to elucidate the factors required to control the drilled hole quality. The following conclusions were obtained. (1) The data-mining aided by a computer was found to be effective to control the drilled hole wall quality in the PWBs manufacturing. (2) It was clear that the surface roughness of drilled hole walls depended on three factors: the drill temperature, cutting distance, and the width of the fiber bundle of weft yarn.

Surface Roughness Prediction Based on Acoustic Emission Signals in High-Precision Diamond Turning of Rapidly Solidified Optical Aluminum Grade (RSA443)

2020 ◽  
Vol 841 ◽  
pp. 363-368
Author(s):  
Zvikomborero Hweju ◽  
Khaled Abou-El-Hossein
Keyword(s):  
Surface Roughness ◽  
Acoustic Emission ◽  
Prediction Accuracy ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Surface Roughness Prediction ◽  
Peak Rate ◽  
Signal Parameters ◽  
Roughness Prediction ◽  
Ae Signal

Acoustic emission signal-based prediction of surface roughness has been utilized widely, yet little work has been done in this regard on RSA443. This paper seeks to study the correlation between acoustic emission (AE) signal parameters and surface roughness. Estimation of surface roughness using AE signal parameters and subsequent examination of the influence of AE signal parameters (root mean square, peak rate and prominent frequency) on the accuracy of the RSM model in surface roughness prediction are carried out. The experiment is designed using the Taguchi L9 orthogonal array to minimize the number of experiments. Emitted acoustic signals are captured using a Piezotron sensor. Three RSM models are formulated and compared in this study: a model that uses only critical machining parameters (cutting speed, depth of cut and feed rate), a model that uses only AE signal parameters (root mean square, peak rate and prominent frequency) and a model that uses both critical machining parameters and AE signal parameters. An assessment based on the models’ mean absolute percentage error (MAPE) is made to see if AE signal parameters have any contribution towards surface roughness prediction accuracy. The order of parameter significance in the most accurate model is investigated in this paper. The mean absolute percentage error results for the models indicate that the model in which AE signal parameters are utilized in conjunction with critical machining parameters has the highest prediction accuracy of 97.32%. The model that utilizes only critical machining parameters has a prediction accuracy of 96.35% while the one that utilizes only AE signal parameters has a prediction accuracy of 84.43%. It is observed that the order of parameter significance from the most to the least significant is as follows: feed rate, cutting speed, peak rate, AErms, depth of cut and prominent frequency.

The Effect of Ternary Material (Zr, Y, and O) High-k Gate Dielectrics

2013 ◽  
Vol 699 ◽  
pp. 422-425 ◽  
Author(s):  
K.C. Lin ◽  
C.H. Chou ◽  
J.Y. Chen ◽  
C.J. Li ◽  
J.Y. Huang ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Electrical Property ◽  
Leakage Current ◽  
Thermal Annealing ◽  
Rapid Thermal Annealing ◽  
Gate Dielectrics ◽  
Bottom Layer ◽  
Oxide Thickness ◽  
Equivalent Oxide Thickness ◽  
High K

In this research, the Y2O3 layer is doped with the zirconium through co-sputtering and rapid thermal annealing (RTA) at 550°C, 700°C, and 850°C. Then the Al electrode is deposited to generate two kinds of structures, Al/ZrN/ Y2O3/ Y2O3+Zr/p-Si and Al/ZrN/ Y2O3+Zr/ Y2O3/p-Si. According to the XRD results, when Zr was doped on the upper layer, the crystallization phenomenon was more significant than Zr was at the bottom layer, meaning that Zr may influence the diffusion of the oxygen. The AFM also shows that the surface roughness of Zr has worse performance. For the electrical property, the influence to overall leakage current is increased because the equivalent oxide thickness (EOT) is thinner.

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