IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 58, NO. 7, JULY 2011 3077
Economic Analysis of Canary-Based
Prognostics and Health Management
Wenbin Wang and Michael Pecht, Fellow, IEEE
Abstract—Prognostics and health management (PHM) is a dis-
cipline of techniques utilizing in situ monitoring and analysis to
assess and trend system degradation and to determine remaining
useful life with a defined level of confidence for a specified coverage
of anticipated events. One of the techniques for PHM is the use
of a canary: an early-warning device derived from the use of
a canary bird to detect the presence of poisonous gases in a
mineshaft. This paper proposes a cost-based decision model to
evaluate the economic benefit of the use of canary devices and
the optimal replacement time of a canary-equipped system if the
canary issues a warning. This paper also discusses the influence
of scheduled preventive maintenance on the replacement policy
of a canary-equipped system. The model is demonstrated with an
example from the aviation industry.
Index Terms—Canary, cost, economic, electronic systems,
health management, prognostics, prognostics and health manage-
ment (PHM), replacement.
I. I NTRODUCTION
P
ROGNOSTICS and health management (PHM) is a
method that permits the assessment of the reliability of a
product (or system) under its actual application conditions [1].
The key benefits of applying PHM, as discussed in [1] and [2],
include the following: advance warning of failures; minimizing
unscheduled maintenance; extending maintenance cycles while
maintaining system effectiveness through timely repair actions;
reducing the life-cycle cost of equipment by decreasing inspec-
tion costs, downtime, and inventory; improving qualification;
and assisting in both the design and logistical support of fielded
and future systems.
There are many methods of implementing PHM, including
physics-of-failure and data-driven methods [1]. Expendable
devices, such as fuses, have been traditional protection meth-
ods for structures and electrical-power systems. For example,
circuit breakers are examples of elements used in electronic
Manuscript received March 27, 2010; revised June 8, 2010; accepted
August 18, 2010. Date of publication September 2, 2010; date of current
version June 15, 2011. This work was supported in part by a grant from the
Research Grants Council of the Hong Kong Special Administrative Region,
China (CityU8/CRF/09).
W. Wang is with the Salford Business School, University of Salford,
M5 4WT Salford, U.K. and also with the Prognostics and Health Manage-
ment Centre, City University of Hong Kong, Kowloon, Hong Kong (e-mail:
w.wang@salford.ac.uk).
M. Pecht is with the Prognostics and Health Management Centre, City Uni-
versity of Hong Kong, Kowloon, Hong Kong and also with the Center for Ad-
vanced Life Cycle Engineering, Electronic Products and Systems, University
of Maryland, College Park, MD 20742 USA (e-mail: pecht@calce.umd.edu).
Color versions of one or more of the figures in this paper are available online
at http://ieeexplore.ieee.org.
Digital Object Identifier 10.1109/TIE.2010.2072897
products to sense excessive current drain and disconnect power.
Fuses within circuits safeguard parts from voltage transients or
excessive power dissipation and protect power supplies from
shorted parts. Another example is a thermostat, which has been
used to sense critical temperature-limiting conditions for the
system concerned until the temperature returns to normal. In
some systems, self-checking circuitry can also be incorporated
to sense abnormal conditions and make adjustments to restore
normal conditions or activate switching means to compensate
for a malfunction [3]. Xiong et al. [4] developed prognostic
warning systems for power-electronic modules of an electric
vehicle.
The word “canary” is derived from the use of canary birds
in mines to warn of the presence of hazardous gases. Because
canaries are more sensitive to hazardous gases than humans, the
sickening of a canary is an indication to the miners to evacuate
the shaft. Due to their embedded location, canaries experience
substantially the same environmental and operational condi-
tions as does the actual system. For example, the stresses that
contribute to the degradation of a circuit may include voltage,
current, temperature, humidity, vibration, and radiation plus
many others, depending on the actual applications.
Canaries are more than fuses in that the damage rate is
expected to be the same for both the system and the canary
circuits. A prognostic canary is thus designed to fail faster
through increased stress on the canary structure by means of
scaling, which may be achieved by controlling the increase of
the stress (e.g., current density) inside the canaries. In canary-
based prognostics, the output information from the canary is
usually binary, i.e., failed or not failed, but physics-of-failure
and data-driven algorithms can be embedded or used with the
canary to assess system health and make prognostic decisions
on a continuous basis. In this paper, we focus only on the binary
type of canary output.
Canary devices mounted on an actual system can be used
to provide advance failure warning due to specific wear-out
failure mechanisms [1]. For example, Mishra and Pecht [5]
studied the applicability of semiconductor-level health monitors
by using precalibrated cells (canaries) located on the same chip
as the actual circuitry. Han et al. [6] proposed a concept of
developing a “canary-containing” packet that can be attached
externally to weapon casings to receive environmental loading
identical to what the casings experienced. Wang and Calhoun
[7] demonstrated a 90-nm 128-Kb test chip on which canary
cells track changes in temperature and data-retention voltage
to detect the minimal value of a supply voltage. Calhoun
and Chandrakasan [8] proposed a closed-loop approach using
canary flip-flops to enable power savings of over 40 times in a
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