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R. I. TU Darmstadt
IFAC SAFEPROCESS: - History, Status, Experiences -
Rolf Isermann
Darmstadt University of TechnologyInstitute of Automatic Control
Darmstadt, Germany
Opening Session 7th IFAC Symposium SAFEPROCESS, Barcelona, 1st July 2009
R. I. TU Darmstadt
IFAC SAFEPROCESS
1. History
2. Status
3. Experiences
4. Outlook
R. I. TU Darmstadt
O On the history of IFAC SAFEPROCESS
– Until 1990: fault detection and supervision treated in special sessions of symposia and congresses
– 1989: Application for a Conference SAFEPROCESS by German NMO accepted
– 1st Symposium SAFEPROCESS in Baden-Baden, 10-13 Sep. 1991– Title SAFEPROCESS was selected as abbreviation of the field (similar as
IFAC/IFIP Workshops SAFECOMP for computer systems)– 1991: Steering committee founded in Baden-Baden to support continuity– 1993: IFAC Technical Committee SAFEPROCESS accepted within the
Application Committee of the IFAC Technical Board– 1993: Technical Board accepts IFAC SAFEPROCESS on the Masterplan
for Symposia– 1994: 2nd IFAC Symposium SAFEPROCESS in Espoo, Finland:
→ A new Symposium series got started
R. I. TU Darmstadt
Preface Proceeedings1 st IFAC-SAFEPROCESS1991
R. I. TU Darmstadt
Preface of Preprints 1st IFAC SAFEPROCESS 1991 Baden-Baden
RI 1991
R. I. TU Darmstadt
Rolf IsermannBernd Freyermuth
• 137 papers• 287 participants• 55 % from industry
R. I. TU Darmstadt
Pentti LautalaBjörn WahlströmTuula Ruokonen
• 133 papers• 220 participants
R. I. TU Darmstadt
Ron J. PattonSteve DaleyJie Chen
• 209 papers• 200 participants
R. I. TU Darmstadt
Josef BokorAndras M. EdelmayerCsilla Banyasz
• 200 papers• 200 participants
R. I. TU Darmstadt
Janos GertlerMarcel StaroswieckiN. Eva Wu
• 197 papers• 175 participants
R. I.TU Darmstadt
Beijing, P.R. China
August 29-September 1 ,2006
6th IFAC Symposium on
Fault Detection, Supervision and Safety of Technical Processes
J. KorbiczD.H. ZhouH.Y. Zhang
258 papers201 partipants
R. I. TU Darmstadt
Janos GertlerRon Patton
Joseba QuevedoTeresa EscobetVicenc PuigBernardo MorcegoAndreu Quesada
264 papers292 participants (207 professionals 85 students) (26 June 09)
R. I. TU Darmstadt
IFAC
O IFAC Technical Committee Chemical Process Control:– IFAC Workshops: Fault detection and supervision in the chemical process
industries• 1992: Newark-Delaware, USA• 1995: Newcastle, UK• 1998: Solaize-Lyon, FR• 2001: Cheju, KR
O IFAC Congresses:• 1990 Tallinn: 1 session• 1993: Sydney: 4 sessions• 1996: San Francisco: 9 sessions• 1999: Beijing: • 2002: Barcelona: 13 sessions• 2005: Prague: 11 sessions, • 2008: Seoul: 5 sessions + CC1, CC2
R. I. TU Darmstadt
IFAC SAFEPROCESS
1. History
2. Status
3. Experiences
4. Outlook
R. I. TU Darmstadt
O IFAC Technical Committee SAFEPROCESS :
– Planning and organisation of new Symposia• Foundation of International Program Committees• Selection of Guest-Countries• Design and maintenance of TC web page• TC Chairs act for 3 years, can be expanded to another 3 years• 2008: 65 members
– Organisation of Sessions for IFAC Congresses– 1991- 1996: Terminology on fault detection and diagnosis
• Control Engineering Practice 5 (1997), 709-719• http://www.rtm.tu-darmstadt.de/fd_terminology.html
– Technical Committee Chairs:• 1991 – 1996 Rolf Isermann• 1996 - 2002 Ron Patton• 2002 – 2008 Michel Kinnaert / Michelle. Basseville/ Jakob Stoustrup• 2008 - 2011 Jakob Stoustrup / Michel Kinnaert /Michel Verhaegen
R. I. TU Darmstadt
IFAC SAFEPROCESS
1. History
2. Status
3. Experiences• Methods• Applications
4. Outlook
R. I. TU Darmstadt
Fault Management
Fault-management actions
Ope-rator
F Fault
Alarm
ChangeOperation
Reconfi-guration
Decision
Hazard Classes
FaultEvaluation
Fault
FaultDiagnosis
Symptoms
FaultDetection
Protection
SignalEvaluation
StopOperation
[W, U] C P[U, X, Y]
FeatureGeneration
Features
Mainte-nance
Repair
Process and Control
Measurements
Con
trol
and
Pro
cess
Lev
el
Supervisionw. FaultDiagnosis
Protec-tion
Monitoring
Sup
ervi
sory
Lev
el
R. I. TU Darmstadt
limitchecking
signalmodels
used
FAULT- DETECTION METHODS
detection withsingle signals
detection with multiplesignals and models
processmodels
used
multi-variatedata
analysis
trendchecking
spectrumanalysis
fixedthres-hold
change-detectionmethods
correla-tion
Waveletanalysis
adaptivethresh-olds
neuralnetworks
param.estim.
stateob-
servers
stateestim.
parityequa-tions
principalcomponent
analysis
Extract of fault detection methods
R. I. TU Darmstadt
IFAC SAFEPROCESS
1. History
2. Status
3. Experiences• Methods• Applications
R. I. TU Darmstadt
Research projects at IAT (33 Doctoral thesis 1981 – 2008, 50 % industry projects):
1. Electrical drivesO DC motors
• With brushes• Electronic commutation
O Inductionmotors• Asynchroneous motors frequency
controlled, with inverters
O Universalmotors
2. ActuatorsO Electrical throttleO Electrical cabine pressure valve
(aircraft ,BLDC)O Pneumatic cylinder- and
membrane actuatorsO Hydraulic Servoaxis
3. PumpsO Centrifugal pumps with DC- and AC-
motorsO Reciprocating pump
(oscillating pump)
4. Plants• Pipeline leak detection and localization
liquids and gases (ethylen)• Heat exchangers (steam/water., heating boilers)
5. Manufacturing• Feeddrive (DC-, Synchron-Mot)• Production center (MAHO MC5)
main drive, feed drives milling, drilling, turning
• Grinding machines• Industrial robot (6 axes)
6. Automobiles
• Suspension, active suspension (ABC)• Hydraulic brake system• Drive dynamic stability, over-, understeering• Fault-tolerant sensor platform
7. Internal combustion engines• Gasoline engines• Diesel engines
8. Fault-tolerant systems• Duplex-Asynchroneous-drivee • Duplex-valve hydraulic servo system
→ Isermann, R.: Fault Diagnosis of Technical Processes, Springer-Verlag, Berlin, 2009/2010
Theoretical and experimental experiences in development of fault diagnososi methods
R. I. TU Darmstadt
Require-ments
Process-analysis.
- process: - linearizable - nonlinear- operation - stationary - dynamic- signals: - periodic - stochastic
- available measurements- operating conditions- open/closed loop
Selectionfault detectionmethods
- signal model based: - Fourieranalys. - wavelets, …- process model based: - paramet. estim. - parity equations - observers, K.F. .
- adjustment to real process and real signals- modeltypes: - linear - nonlinear - time variant- test signals: - yes: type - no
Simulations
- process modeling: - physical - identification - semi-physical- signal models: - periodic, harmonics - ARMA - disturbances
- test of methods- combination of methods- fault coverage- fault
diagnosis: - isolability - classification - inference meth.
feedbacks for improvements
- kind of faults- number of faults- fault detection coverage- smallest replaceable unit
- fault list: - actuators - process - sensors- fault-sympt. trees- application? - maintenance - fault tolerance
Preco
nd
ition
sR
esults
Development stages for fault detection and diagnosis
- process computer - real time - filtering,….- real operating conditions - real signals- inserting real faults
- adjustment of: - models - filters - tuning parameters- faults: - detecable ? - size ? - diagnosible ?
Experimentswithreal process
- field tests- all operating conditions- reliability ?- maintainability ?- customer acceptance ?
FinalSoftw/hardw.realization.
- tests with other processes- robustness issues (process tolerances)
compari-son
Ready
for use
R. I. TU Darmstadt
Outlook: Technical driving forces for SAFEPROCESS ?1. Asset management → improvement of availability and economics
• Maintenance on demand• Forecast of maintenance• Estimation of availability• Life cycle optimization
2. Fault tolerant systems → improvement of safety (and availability)• Fault tolerant sensors• Fault tolerant actuators and drives• Fault tolerant processes• Fault tolerant control• Until now: for safety relevant systems only
3. Development tools → improvement of applicability• for fault detection and diagnosis methods• user friendly, with best practice approaches• Integration of analytical + heuristic information on process behavior• Combined diagnosis for continuous + discrete event processes
R. I. TU Darmstadt
O Important issues for successful detection & diagnosis methods:
1. Physical/technical understanding of fault propagation to measured signals
2. Physical & experimental based modeling of actuators, processes and sensors
3. Adjustment of suitable detection methods to real faults
4. Experimental and engineering skill & validation of methods
R. I. TU Darmstadt
Fault diagnosis + fault management: wide technical applications