DTA

Digital Theses Archive

 

Tesi etd-09052019-145405

Type of thesis
Dottorato
Author
BARONE, FRANCESCO
URN
etd-09052019-145405
Title
SIGNAL AND IMAGE PROCESSING FOR TURBOMACHINERY MONITORING
Scientific disciplinary sector
ING-INF/04
Course
INGEGNERIA - Ph.D. Programme in Emerging Digital Technologies (EDT)
Committee
relatore Prof. DI PASQUALE, FABRIZIO CESARE FILIPPO
Presidente Prof. FERRARA, GIOVANNI
Membro Prof. SOLAZZI, MASSIMILIANO
Membro Dott. FARALLI, STEFANO
Keywords
  • calibrazione della camera
  • camera calibration
  • centrifugal compressor
  • compressore centrifugo
  • deep learning
  • Direct Linear Transformation
  • DLT
  • features extraction
  • indici di stallo
  • infrared radiation
  • infrarossi
  • pompaggio
  • precursori di stallo
  • pressure signal
  • reflection compensation
  • reflection model
  • rilevamento dello stallo
  • segnale di pressione
  • stall detection
  • stall index
  • stall precursor
  • stima della temperatura
  • surge detection
  • temperature estimation
  • termografia
  • thermography
  • turbina
  • turbine
  • wDLT
  • weighted Direct Linear Transformation
Exam session start date
;
Availability
parziale
Abstract
Oil&amp;Gas industry requires reliable turbomachinery and industry 4.0 relies on sensing and data processing to make this possible. The collected data and its processing can predict failure and improve the health of turbomachines, resulting in a reduction of maintenance cost and increase in performance.<br>This thesis includes two parts: the first one is about processing of dynamic pressure signals to detect stall and surge in centrifugal compressors; the second one is about gas turbine rotor blade temperature estimation from infrared image.<br><br>Stall and surge detection<br><br>Pressure signals from a model test of a centrifugal compressor stage are recorded and processed. Relation between instabilities, signal unsteadiness and spectra is investigated. A novel approach, based on deep learning, was proposed and tested.<br><br>Gas turbine blade temperature estimation<br><br>Accurate mesurements of the surface temperature profile inside a gas turbine from infrared thermographic images requires non trivial models of infrared<br>emission and reflection. In this section, a novel approach for achieving this goal is presented, which includes a calibration algorithm using reference thermocouples in some positions on the stator.
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