nidec asi service partial discharge basic diagnostic
DESCRIPTION
SERVICE PARTIAL DISCHARGE BASIC DIAGNOSTICTRANSCRIPT
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PARTIAL DISCHARGE BASICDIAGNOSTIC
Basics, Sensors &Instruments, Experience
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BASICS
“Partial discharges” are fast flows of electrons (discharge) due to a local concentration ofthe electric field which occurs across two insulated bodies at different potential, that doesnot breakdown the whole insulation.
They normally occurs within gases (air or other).
PD’s normally occur within electric machines and other apparatus due to the technologyutilized in the insulation systems (termosetting materials).
There are different kinds of discharges, some are harmful some are not.
It is not true that the most dangerous PD phenomena exhibits the larger amplitude
PD quantities and PD intensity must be associated with the defect typology to properlyassess harmfullness
Different insulation systems exhibits different characteristics as to PD patterns and PDlevels, therefore experience is the Key-factor
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PDs are slow degrading phenomena, therefore they can be used for early detectionof potential cause failure, and normally they allow for proper planning of correctiveactions.
PD are at the same time both a symptom of a defectand a new degradation process that can lead to the final breakdown.
PDs measurement allow for local defect identification and monitoring, improvingCBM efficacy .
BASICS
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International Standards on PDs measurements:
IEC 60270 – High-voltage test techniques – Partial discarge measurements
IEC 60034-27 – Rotating electrical machines – Partial discharge off-linemeasurements on the stator winding insulation of rotating machinery
STANDARDS do not give acceptance criteria for new machines or machine in service
At the moment, there are not end-of-life criteria based on PD
Diagnostic is based on trending and experience
BASICS
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Slot PD
Surface PD (stress grading)
B2B Tracking
Tracking
Internal PD
Sparking
Pressure finger
Stator core
BASICSRotating Machines PD Sources
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BASICSInternal Conductor Delamination
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BASICSSurface Discharge
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Discharges result in a electric charge displacement that generates current pulses,which are detected as voltage pulse (Vm) at the sensor terminals.
PD pulse detected by the instrument
VmVa
Cx
Ck
Zm
Measurement principle
Capacitive sensor
PD Detection And Measurement
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signal
Triggerlevel
Pretrigger
UWBDigitizer
RAM Bank
Permanentstorage dev.
time
Recording time
NIDEC ASI’s instruments, differently from others, are not simple PD peak detectors,but they acquire and process the complete pulse shape.
Insulation
HFresistor50W
High Pass(HP) Filter
Digitizer
system
PersonalComputer
fiber opticIEEE-488 bus
PD Detection And Measurement
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Signals coming from different PD sources and/or locations present differents wave-shapes.
The whole shape of signals is digitally detected at the fastest sampling rate, toavoid the frequency aliasing.
Pulse signals are synthesized considering both their amplitude and phase ofoccurrence and reported on a standardized cycle of the applied voltage to obtain a 3Dplot (or 2D plot).
Pulse signals are recorded in a number high enough to perform statistical analysis.
Different PD sources are separated through TF mapping.
Noise by different sources (power electronics switches, broadcast signals, arcing,AC/DC rectifiers, random noise, PD cross-talk, etc.) is rejected by identificationthrought TF mapping.
PD sources are identified by comparison
PD Detection And Measurement
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Pulse signals are synthesized considering both their amplitude and phase of occurrence andreported on a standardized cycle of the applied voltage to obtain a 3D plot (or 2D plot):
Synthesization
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T
F Fast pulses:Short duration,
High frequency content
Slow pulses:Long duration,
Small frequency content
Each Pulse is processedindividually and represented by apoint on the TF map.
PD pulses are separated into sub-series each one homogeneous interms of shape (time-frequencymapping).
TF Mapping
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TF Map
F2: Internal PD
End-winding stress gradingdeterioration, due to thermalstress, is the defect typologyassociated to pattern F1
SeparationSignals Having Different Shape are grouped din different classes
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Visual comparison between the given 3D PD plot and a collection of known patterns(databases).
Automatic pattern matching by means of Neural Net., distance classifiers, statisticalclassifiers (expert system).
3D shape analysis by means of identification markers derived by both standard andPD pulse height and phase distribution analysis.
Identification
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Different defects can affect differently the insulation system reliability: it is not true thatthe most dangerous PD phenomenon exhibits the larger amplitude
PD quantities relevant to PD intensity must be associated with the defect typology
At the moment, there are not end-of-life criteria based on PD
A complete collection of 3D PD plots and the relevant defect typologies is essential forreliable diagnostics
Design and manufacturing greatly affect PD patterns and levels: OEM experience isessential for reliable diagnostics
Diagnostic-Risk Assessment
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Surface PDSurface PD with
tracking Bar-to-bar PD
Tape delamination PD Slot PDDistributed
microvoids PD
PD Sources & 3D PD PatternsSurface Discharge
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• Noise rejection
•Source separation
D
Diagnosis
S I
• Potential defect..harmfulness ..(onesource at a .. .. time)
• Risk assessment
• Maintenance program
• Life extension (trend of..the weakest spots, ..time toend point)
Separation Identification
The Strength of Our AnalysisSurface Discharge
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PROS
The whole winding is tested
Applied voltage can vary to determineinceptions and fading voltage
Reduced noise
Easier analysis of the data collected
CONS
Voltage distribution across the windingis different from that in service.
Operating load and temp. of thewinding cannot vary
Interphase PD cannot be detected
Off-Line Measurements
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PROS
Actual PD are measured while themachine is operating
Change of load and temperature tocheck the influence on PD
Interphase PDs are measured
CONS
Applied Voltage cannot varies
Pulsating noise is higher than in off-linemeasurements
Analysis and diagnostic is more difficultthan off-line
Off-Line Measurements
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A large range of sensors and filters are available to cover any possible PD acquisition needand optimise the metering circuit. Sensors are: capacitive, inductive, antenna
Capacitive sensors family Inductive sensors family
Antenna sensors family
Sensors and Accessories
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Capacitive couplersGenerators/critical motors
HFCT on surge capacitorsLarge/critical motors provided withsurge capacitors
HFCT on ground leadsLarge/critical motors not provided withsurge capacitors
HFCT on MV cables ground leadsLarge/critical motors not provided withsurge capacitors
Clamp HFCT
HFCT
Coupler
Sensors InstallationOn Rotating Machines
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• Ultra wide band acquisition unit• IEC60270 standard feature• Pulse shape analysis• Fuzzy logic tools and statistical processing• Noise Rejection• PD Source Identification• Database application• Location of defects• Fiber optic transmission• External or line synchronization• Fully remote controlled• SMART gating options• Spectrum Analyzer• Quality control test management• Immediate diagnosis and alert• Preprocessing-Post Processing
250x250x100 mm, 7 kg
PDBaseInnovative Digital PD Diagnostics System
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• Ultra wide band acquisition unit• Pulse shape analysis• Fuzzy logic tools and statistical processing• Noise Rejection• PD Source Identification• Waveform Analyser• Spectrum Analyser• Database application• Location of defects• Ethernet interface• Fully remote controllable (internet/intranet)• Stand alone or part of centralized complex monitoring system• Possibility of connecting several instruments to the same network• Large data storage capability (with memory cards)• Ideal for permanent on-line monitoring of PD and other quantitiesi.e. temperature, humidity, currents, voltages, etc.
203x135x55 mm, 1 kg!
PDCheckThe Ultimate Solution for on-line PD Monitoring
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RA1
Derivation
Box
LP
Filter
HP
Filter
HP
Filter
HP
Filter PD
Acquisition/
Monitoring
System
Sync
InP
h.A
InR
B1
RC1
Ph.B
InP
h.C
In
Sync
PD
PD
PD
G
3~
Capacitive coupler installedin a Generator Busbar
Derivation Box
Coupling capacitors Installation
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PFCT
HFCT
HFCT
HFCT
M
3~
Derivation
Box
LP
Filter
HP
Filter
HP
Filter
HP
Filter
Sync
InP
h.A
InP
h.B
InP
h.C
In
PD
Acquisition/
Monitoring
SystemS
ync
PD
PD
PD
HFCTs installed on a motorcable terminal box
Derivation Box
HFCT Installation
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PD measurements evidenced that the machine was affected by:
Distributed micro-voids (all three phases)
Bar to bar (ground) discharges (phase U)
Slot Discharges (phase V)
Typical of modern thermosetting insulation systems
the high frequency currents may degrade, in thecourse of time, both the stress grading system andthe slot coating protection in the region where thebars leave the iron core
Dangerous phenomenon: inspection andmaintenance required !
On-line PD monitoring was performed on a Generator in a Power plant, in order to collectdata to assess the whole machine conditions
Case Study: Power Generator
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Classification mapEntire Pattern acquisition
Exciter noise
Distrib. Microvoids: 20%Slot discharge 80%
cross talk of bar toground discharges inoverhang of phase U
cross talk of distributed micro voidsdischarges in phase U
Case Study: Power GeneratorPhase V
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Results confirmed by endoscopic inspection on generator !
PD traces found in 12of the 60 slots
(7 white traces and 8suspecious traces)
Slot discharges:Potential danger
Case Study: Power GeneratorPhase V
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Off-line and on-line PD testing for on-site diagnostics on rotating machines.
Off-line and on-line PD testing for the commissioning and condition assessmentof other electrical apparatus.
Sensors and instruments sales and installations.
Training on PD measurements
Remote data analysis of PD data acquired by customers.
Services
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