Power plants Robustificaton based On fault DetectIon (PRODI)

Transcription

1 SEVENTH FRAMEWORK PROGRAMME THEME 3: INFORMATION AND COMMUNICATION TECHNOLOGIES Pwer plants Rbustificatn based On fault DetectIn (PRODI) Prf. Zeljk Djurvic Faculty f Electrical Engineering University f Belgrade zdjurvic@etf.rs CLaSS Meeting, Brussels, 0.March Prject Identity Card: Partners: Faculty f Electrical Engineering (Belgrade, Serbia) Department f Electrical and Electrnic Engineering (University f Cagliari, Italy) Faculty f technical sciences (University f Nvi Sad, Serbia) Universidad Plitechica de Valencia (Valencia, Spain) BOSIO (Stre, Slvenia) Victriail (Sid, Serbia) Prject Crdinatr : Prf. Zeljk Djurvic zdjurvic@etf.rs Prject website: Duratin: 36 mnths, Start: April 008 Cntract Number: INFSO-ICT-433 CLaSS Meeting, Brussels, 0.March 008.

2 Prject bjectives Pwer plant rbustificatin using pattern recgnitin techniques ; Develpment f new techniques fr signal prcessing f the measurements btained by sensrs; Design f reliable cmputer architecture fr implementatin f the develped algrithms, their integratin, user friendly cmmunicatin t the final user (plant peratr) and reliable machine-field interface; Pwer plants and bifuels factry analyses regarding applicability f the mdel-based FDI methdlgy; The design f a knwledge-based expert system fr diagnsis f actual plant state with the advisry capacity thrugh man-machine interface; Design f new techniques fr efficient fault detectin in particular devices as synchrnus and asynchrnus machines. CLaSS Meeting, Brussels, 0.March Main ideas and mtives: large scale, cmplex system mre than 00 regulatin lps mre than 800 sensrs and 50 actuatrs persistent presence f disturbances time-varying behavir significance fr the verall cmmunity high level f hazards ccurrence Thermal Pwer Plant Nikla Tesla, Obrenvac, Serbia high respnsibility f the maintenance staff stressful envirnment shrt time available fr right decisin successful management depends n insufficient experience and imprper system understanding CLaSS Meeting, Brussels, 0.March

3 Prject structure CLaSS Meeting, Brussels, 0.March Example f fault detectin based n verlapping decentralized estimatin Gals: Biler pwer estimatin: lcal (in the vicinity f each superheater), glbal (fr the biler as a whle). Pssible uses: detectin f flame dissymetry (faulty perating regime), cal quality estimatin fr main regulatr parameter determinatin. CLaSS Meeting, Brussels, 0.March

4 Cnsensus State Predictin References: Stankvic, S., Stankvic,M. and Stipanvic, D. (009). Cnsensus based verlapping decentralized estimatr. IEEE Trans. Autm. Cntrl, vl. 54/, pp Stankvic, S., Stankvic M., Stipanvic, D. (009). Cnsensus based verlapping decentralized Estimatin with missing bservatins and cmmunicatin faults, Autmatica, accepted fr publishing. CLaSS Meeting, Brussels, 0.March Plant Identificatin CLaSS Meeting, Brussels, 0.March

5 Single Superheater State Space Mdel CLaSS Meeting, Brussels, 0.March Cnsensus Estimatin CLaSS Meeting, Brussels, 0.March

6 Detectin f defects in rlling elements based n statistical pattern recgnitin Main cmpnents f machine rtatinal mtin: rlling element bearings and cgwheels. Gal: Early detectin f degradatin presence and determining the type f bearing fault. Vibratin signals are frequently used fr fault diagnsis f mechanical systems. CLaSS Meeting, Brussels, 0.March The envelpe analysis CLaSS Meeting, Brussels, 0.March

7 Dimensin reductin CLaSS Meeting, Brussels, 0.March Classificatin results References: P. Stepanic, I.Latinvic, Z. Djurvic, (009), A new apprach t detectin f defects in rlling element bearings based n statistical pattern recgnitin, Int. Jur. Adv. Manufacturing Tech., accepted fr pubishing CLaSS Meeting, Brussels, 0.March

8 Cnflict matrix CLaSS Meeting, Brussels, 0.March A New Apprach t Rbust Filtering Presence f utliers in the measurements f temperature, pressure, flw r psitin degrades the quality f parameters estimatin and cntrl 100 psitin f the turbine mtr time [sec] CLaSS Meeting, Brussels, 0.March

9 Plynmial prcess mdel: Recursive identificatin prcedure: The chice f influence functin CLaSS Meeting, Brussels, 0.March Assumptin: Influence functin: z 4 0 -, 0.05, z z, 1, 10.5% 5% 7.5% 10% z z 15 10, 1, z CLaSS Meeting, Brussels, 0.March

10 QQ-plt apprach r s j s j j regular 0 s j F 1 n j j utliers F 1 n j F 1 n j CLaSS Meeting, Brussels, 0.March Prcedure: Nnlinear ptimizatin References: Z. Đurvić, I. Kvačević, B. Kvačević, (008). An Adaptive Channel Parameter Estimatin Using QQ-plt, WSEAS Transactins n Circuits and Systems, Vl. 7, pp CLaSS Meeting, Brussels, 0.March

11 Prcedure: Iterative calculatin References: Kvacevic B., Djurvic, Z. (009). Stchastic Systems and Estimatin Thery, Springer Verlag, Berling. CLaSS Meeting, Brussels, 0.March Cnclusin Expected and achieved results: Pwer plant rbustificatin using pattern recgnitin techniques. Develpment f new techniques fr signal prcessing f the measurements btained by sensrs. Pwer plants and bifuels factry analyses regarding applicability f the mdel-based FDI methdlgy. Develpment f a new design methdlgy fr verlapping decentralized FDI algrithms and develpment f bservers able t estimate exgenus variables in the presence f bth measurement nise and mdel uncertainty CLaSS Meeting, Brussels, 0.March 008.