MODELING TELECOMMUNICATION OUTAGES DUE TO POWER LOSS
DOI:
https://doi.org/10.23055/ijietap.2006.13.1.422Keywords:
Telecommunications, reliability, point process, piecewise linear model, non-homogenous Poisson processAbstract
This work involves analyzing reported US telecommunications outages due to power loss over an eight year period (1996-
2003). Data from the reports includes the dateltime of each outage, allowing time series reliability analysis. The arrival
process is modeled by two non-homogenous Poisson processes (NHPP): the popular power law process and a piecewise
linear process. The study concludes that the number of telecommunication power outages after September II, 2001 (9-11)
decreased. In this case, the frequency of outages changed abruptly, strongly inferring a change or breakpoint in fundamental
process. The major fmding is that there is strong evidence of reliability growth. However, the growth could not be
attributed to a monotonic "learning curve" improvement process. Rather, modeling provides strong evidence that 9-11 was
episodic enough of an event to act as the catalyst for improvement
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