10 research outputs found
Fast local hardware processing for analysis of large databases
EThOS - Electronic Theses Online ServiceGBUnited Kingdo
Novel methodology for broken-rotor-bar and bearing faults detection <span style="font-size:15.0pt;font-family:"Times New Roman";mso-fareast-font-family: "Times New Roman";mso-ansi-language:EN-IN;mso-fareast-language:EN-IN; mso-bidi-language:AR-SA">through SVD and information entropy</span>
589-593This study introduces a novel methodology for
early detection of broken-rotor-bars and bearing faults on induction motors by
using singular value decomposition and information entropy estimation to detect
motor operational condition. Proposed technique could detect these faults with
a certainty greater than 99.7%. A field programmable gate array implementation
is developed for online application of proposed approach in real-time.</span
Nonlinear observer-based control for an active rectifier
1017-1025In this paper, a nonlinear observer-based controller
for a single-phase active front-end (AFE) rectifier is presented to improve
power factor with high quality output DC voltage.
Proposed algorithm is based on an Luenberger-like observer and a passivity-based
controller. Closed-loop stability is demonstrated for
all operating ranges using Lyapunov theory. Performance of observer based
controller is shown by
simulation for voltage sag occurrence and abrupt load changes
FPGA-based system for frequency detection of the main periodic component in time series information
This paper presents a novel algorithm, called the DFSWT, and its FPGA-based hardware processing unit for frequency estimation of a time series main periodic component. Since the DFSWT uses just additions and subtractions, it is simpler to compute than the FFT, and since its spectrum is a frequency function, it is more intuitive than the Walsh transform. The results show that the proposed algorithm is very efficient in detecting the frequency of the main periodic component, even in low SNR. The proposed hardware processing unit is 3 orders of magnitude faster than its respective software implementation and presents advantages regarding to power consumption, footprint, and computation speed against highly optimized commercially available FFT cores
Real-time high-resolution frequency estimation of electric signals in industrial applications
327-331This study develops a low cost hardware processing
unit implemented in a field-programmable-gate-array (FPGA) device and based on
Chirp-z transform for real-time high-resolution frequency computation of
electric signals in industrial applications. This hardware unit complies with international standards for frequency
measurement in electrical systems.
Effectiveness of proposed frequency-estimation unit was experimentally
validated using case studies
Determination of system frequencies in mechanical systems during shutdown transient
415-421This
study proposed a methodology for system frequency detection of mechanical
systems with variable load conditions. Vibration signals from shutting-down
transient were analyzed in combined time-frequency domain using wavelet and FFT
analyses. Effectiveness of proposed methodology was validated by experimental
case study and found that this methodology can be applied to any rotating
mechanical system
Feedrate optimization by polynomial interpolation for CNC machinesbased on a reconfigurable FPGA controller
342-349This paper presents an optimization feed rate technique for smooth trajectories generation based on polynomial interpolation.Proposed methodology implements constant or variable feed rate based on a reconfigurable FPGA. Experimental resultsverified proposed methodology with high efficiency for both approaches