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