HEALTH MANAGEMENT STRATEGY FOR ELECTRONIC POWER DISTRIBUTION SYSTEMS.pdf
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Transcript of HEALTH MANAGEMENT STRATEGY FOR ELECTRONIC POWER DISTRIBUTION SYSTEMS.pdf
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HEALTH MANAGEMENT STRATEGY FOR ELECTRONIC POWER
DISTRIBUTION SYSTEMS
Sonia Vohnout, Justin Judkins, James Hofmeister, and Ronald Carlsten
Ridgetop Group, Inc.
6595 N. Oracle Road, Suite 153B
Tucson, AZ 85704
Tel: 520-742-3300
Abstract: We present an indirect and non-invasive prognostic and health management
strategy for fault-tolerant electric power systems. Switch-mode power supplies (SMPS)
have become ubiquitous in electronic modules and systems, delivering a regulated DC
voltage over a power bus or to a specific module. Often, the power supply has the highestfailure rate within the electronic system making it the most important factor in reliability
and asset readiness. This paper will show how we use prognostic sensor modules for DC
power supplies to monitor degradation signatures and extend the operating life of a
critical power system by dynamically reconfiguring the loads. Sensor modules are placed
on the power distribution system external to the power supply and poled at regular
intervals. The operating life of a critical system can be extended by dynamically
distributing the load based on the degradation signatures being monitored. This modular
approach is simple and can be implemented on existing systems with minimal redesign. It
offers the advantage of increased reliability at low cost, is vendor independent, scalable,
and is applicable to many non-prognostics enabled power supplies.
Keywords: Electronic prognostics; Health monitor; Optical coupler; Switch-mode
power supply
Introduction: A leading cause of failure in its electronic systems is a failure of the power
components, such as power supplies and actuator drives. The consequence of the loss of
the power electronics can range from mission failure to making critical assets unavailable
when they are needed. Doctrine advises a frequent maintenance schedule to ensure
reliable systems, but given the logistics cost of carrying spare parts, this is not alwayspractical. The solution is to augment schedule-based maintenance with condition-based
maintenance, as supported by electronic prognostics. Anticipating electronic failures
before they occur can reduce scheduled maintenance and associated costs, improve
mission success and reliability, enhance system readiness, increase safety, and reduce
overall lifecycle cost in advanced electrical systems. The emerging field of electronic
prognostics and health management (ePHM) is becoming a key enabler of cost-effective
reliable, available, and robust electronic systems with a long service life. Electronic
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prognostics allows the detection of impending solder joint failures in package
interconnections, monitoring of degradation signatures in ceramic and electrolytic
capacitors in power supplies, detection of broken bar faults in squirrel cage induction
motors, and health monitoring in network servers ([1] -[4]).
Switch-mode power supplies (SMPS) have become ubiquitous in electronic modules andsystems, delivering a regulated DC voltage over a power bus or to a specific module. As
with all electronic subsystems, the SMPS is prone to wear out and eventually fail. Often,
these power supplies have a higher failure rate than the downstream components, making
them the weak link in a system. Common fault modes that are present in most SMPS
include degradation of the output capacitor, failure of the power metal oxide substrate
field effect transistor (MOSFET) switch and diodes, failure of the control IC (integrated
circuit), degradation of the opto-isolator, and a variety of electro-mechanical issues
including printed circuit board (PCB) delamination and failure of interconnections [5].
SMPS manufacturers have been reluctant to add prognostics to their supplies because of
the trade-off between fault coverage and reliability; adding more sensors increases thedetection resolution but also makes a circuit inherently less reliable. A sensor failure
within the circuit may impact the electrical performance in an unpredictable way. Hence,
adding sensors within the power supply lowers its reliability. In some cases the benefits
of this capability do not justify the cost and reduction in reliability. It is always desirable
when attaching a sensor to the system that it is as non-invasive as possible, cost effective,
and a reliable prognostic solution.
In previous research we introduced and described a prognostics health monitoring system
where the crossover frequency is monitored through a voltage regulation feedback loop,
and a fault-to-failure progression model is used to predict the health and remaining useful
life (RUL) of an optical isolator in a SMPS. The approach is indirect, non-invasive, costeffective and applicable to non-PHM enabled power supplies, offering increased
reliability. We also introduced a new non-invasive prognostic sensor for the optical
isolator in a SMPS [5]. We will now show how we use prognostic sensor modules for the
opto-isolator and the output capacitor in DC power supplies to monitor degradation
signatures and extend the operating life of a critical power system by dynamically
reconfiguring the loads. The PHM approach presented for fault-tolerant electric power
systems is both indirect and non-invasive; the prognostic modules can be combined on a
single integrated circuit that monitors only the external terminals of a general purpose
DC-DC converter. This approach is simple to implement, low cost, applicable to many
non-PHM enabled power supplies, and offers prognostic support for an on-board vehicle
health management system. Degradation of the power supply can be accurately tracked
and easily processed to provide advanced warning time to impending failure.
Switch-Mode Power Supply Topology: Our approach relies on our understanding of the
behavior of the SMPS as a system with feedback. The DC power supply chosen in this
paper has a closed regulation feedback loop (see Figure 1). As noted in a previous
research paper [5], changes in the performance in this feedback loop have minimal effect
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on the regulating function of the SMPS, but do cause changes in how the output voltage
responds to dynamic inputs to the load or input.
Figure 1. State Diagram of Switch-Mode Power Supply
The phase margin, the difference in the phase of the loop gain in Figure 1 and 180 o, plays
an important role in the stability of a SMPS. A large phase margin will tend to cause
greater damping and less oscillation. A low phase margin will allow the circuit to ring
for an extended time for the small input perturbations. This can result in a marginally
system. Phase margins of 0o or less result in uncontrolled oscillations and instability,
which is undesirable in a closed control system. In our research, we use an impulse input
to cause the output voltage to ring. The properties of the ringing, such as magnitude,
frequency, and damping) are then related to the loop gain and phase margin. We can
exploit this behavior by detecting and analyzing the transient behavior to infer the level of
wear-out of certain componentswithin the loop, such as diodes, switches, transformers,
and in particular the optical coupler in the isolation stage of the circuit and then decide ifa SMPS is on a failure trajectory while it is still in service and define how soon it will
need replacement or repair. The transient signals are therefore available for diagnostic
purposes if one has an understanding of the correlation between the loop gain and phase
margin.
Fault-to-Failure Progression Model: Acommon component to fail in a SMPS topology
is the optical coupler or opto-isolator that acts as a signal amplifier between the error
signal generation and the pulse-width modulation stages of the power supply. We selected
an optical isolator for this study, based on a GaAsphotodiode and a phototransistor. The
current gain for this device typically ranges from 1.0-3.0 Amp/Amp. This gain, referred to
as the current transfer ratio (CTR), is a multiplier in the loop gain that effectively causes avertical shift in the Bode plot of the feedback loop gain and, consequently, also affects the
cross over frequency. In an earlier paper [5], we showed how the degradation in the opto-
isolator is expected to result in a decrease in ring frequency.
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1000 10000 100000
-40
-20
0
20
CTR = 3.0
CTR = 0.7
Magnitu
de(dB)
Frequency (Hz)
fc
Figure 2. Bode plot of the loop gain showing how a shift occurs in Crossover Frequency
due to a decreased in CTR
The opto-isolator is one of a few high failure-in-time (FIT) rate items in the SMPS. Thedegradation progression for this component is a relatively slow decrease in CTR over
time. So long as the loop gain remains above unity, the diminishing CTR does not affect
steady state operation of the circuit. Only when the CTR falls below a critical threshold
value will the circuit cease to properly regulate the output voltage , allowing it to drift
higher. However, well before this failure point, the health of the optical coupler can be
measured from the observation of the crossover frequency. This frequency will decrease
as CTR is reduced (see
Figure 2 and Figure 3).
-0,2 0,0 0,2 0,4-0,2 0,0 0,2 0,4
CTR = 3.0
CTR = 0.7
Time (ms)
VoltageTransient
CurentImpulse
Figure 3. SPICE simulation output showing voltage transient response to load current
impulse. Damped ringing behavior occurs for two values of opto-isolator CTR.
Figure 3 shows the results of a Simulation Program with Integrated Circuit Emphasis
(SPICE) simulation for the output voltage for two values of CTR, 3.0 and 0.7. In the
simulation, the load current changes from 5 amps to 10 amps for a duration of 10s and
returns to 5 amps. In the case of CTR=3.0, an oscillation of 20 kHz occurs in the vicinity
of the crossover frequency shown in Figure 4 and is quickly damped. The circuit recovers
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and is again regulating at 5 volts output. Notice that when we shift this curve up or down,
the crossover frequency is also shifting right or left (
Figure 2). The rate of shift is given by the slope of the Bode plot, about one decade per
40dB in level shift.
Figure 3 shows the impulse response to the load transient for a scenario in which the
optical isolation stage has accumulated some amount of damage. The CTR is reducedfrom 3.0 to 0.7, still adequate for steady state voltage regulation. Notice, however, that
the oscillation frequency is reduced. This is a direct result of moving the crossover
frequency in the loop gain curve. An oscillating frequency change of roughly 2 to 1
corresponds to the square root of the relative change in CTR.
This observation suggests the use of resonance measurements as a prognostic indicator in
a regulated SMPS. The relative value of CTR may be tracked as a function of time using
the calculation for the oscillation frequency, and signal averaging or least squares
regression can be used to determine if measurements show a trend toward failure. It has
been demonstrated [8] that the PN junction photodiodes typically used for the optical
emitter exhibit a gradual degradation with time. Such a model can be produced through atest program using highly accelerated life testing.
The Levenberg-Marquardt (L-M) algorithm has proved to be an effective and popular
method for solving nonlinear least squares problems. It is used in many data fitting
applications. We combine the L-M method for fitting the impulse response data and the
degradation rate model presented in [8] to project the wear out time of the opto-isolator
and the eventual loss of the power supply regulation (see Figure 4). Other factors such as
temperature and load conditions change randomly while the device is in the field
environment, and these parameters may also be factored into the degradation model to
improve the accuracy and confidence of the final RUL calculation.
Intermittent faults are another issue which this prognostic addresses. The SMPS is not
considered to have actually failed until the coupling value has decreased below the level
at which the power supply can regulate current. Prior to this point, the power supply may
continue to provide well-regulated voltage output but may fail in certain stress conditions.
Once the supply has been returned from the field and tested with a voltmeter in a
laboratory environment, it is likely to pass Re-test Okay (RTOK) or No Trouble Found
(NTF) unless the conditions for test are similar to the field environment. Recreating those
conditions is not always practical or possible.
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Figure 4. Non-invasive ring frequency detector to monitor degradation and assess RUL
More interesting than the instantaneous measurement is the change or trend in frequency.This scheme may be used to periodically pole the power supply and obtain a running
history of the ring frequency measurement as it shifts over time. By relating this
frequency with a baseline frequency to the CTR shift, we obtain a progression of CTR
versus time.
Data representing CTR shift can thus be obtained by a non-invasive approach. Assuming
that failure of the opto-isolator is the dominant factor in the failure of the regulation loop,
the health of this component and its remaining life can be determined from a CTR physics
model. The confidence of this prediction is based on a number of factors including
measurement noise, noise on the bus, and ability of the model to incorporate all
significant environmental factors in predicting the components failure trend.Nevertheless, the proposed topology provides a significant improvement in the ability to
assess the health of the regulation loop beyond a life model that only considers statistical
data.
Output Capacitor: The primary purpose of output filter capacitor in a SMPS is to
suppress high frequency noise generated by switching in the DC-DC converter. As a
consequence, the output filter capacitor is subject to continuous current oscillation. The
magnitude of the resultant voltage ripple is dependent on Equivalent Series Resistance
(ESR), ambient temperature, output current, and the input voltage of the converter. Stress
can be also applied to the capacitor when a load is removed from the power supply.
Output capacitors fail as a result of high stress electrical bias and/or mechanical failuressuch as cracked internal parts, in which the ESR of the capacitor increases. For high
capacitance of tantalum or ceramic capacitors, the initial value of ESR is small (usually