1985
DOI: 10.1002/j.1538-7305.1985.tb00448.x
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1.3-μm Laser Reliability Determination for Submarine Cable Systems

Abstract: To meet the stringent requirements of a submarine cable system, our 1.3-μϊα laser prequalification program has two objectives-first, to define the testing methodology that will accurately evaluate the potential reliability of the laser; and second, to obtain a preliminary indication of laser reliability on which the system configuration can be designed. Our testing methodology involves a combination of step-temperature, step-power, and isothermal test ing over the temperature interval between 10 and 80°C and p… Show more

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Cited by 27 publications
(27 citation statements)
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“…15 The number of electrons which escape from the active layer and become available for recombi nation as minority carriers in the confining layer has a Boltzmannfactor dependence upon the conduction-band energy step Ei and hence upon the composition x of the confining layer. 16 Because x can vary inadvertently from wafer to wafer, and even across a given wafer, apparently meaningful wafer-to-wafer 12,17 and device-to-device differ ences in the activation factor do not necessarily rule out the possibility of a single degradation mechanism.…”
Section: Activation Factormentioning
confidence: 97%
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“…15 The number of electrons which escape from the active layer and become available for recombi nation as minority carriers in the confining layer has a Boltzmannfactor dependence upon the conduction-band energy step Ei and hence upon the composition x of the confining layer. 16 Because x can vary inadvertently from wafer to wafer, and even across a given wafer, apparently meaningful wafer-to-wafer 12,17 and device-to-device differ ences in the activation factor do not necessarily rule out the possibility of a single degradation mechanism.…”
Section: Activation Factormentioning
confidence: 97%
“…We will not consider such generalizations any further here except to note that when a complete theoretical model in two (i and T) or more inde pendent variables appears to be quite complex, then the empirical onevariable reduced-observable method of eqs. (6), (12), and (54) becomes particularly appealing.…”
Section: = A[g(i) I]dt + E[g(i) I](dg/dl)dlmentioning
confidence: 98%
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“…To simplify the problem, some models suggest that the long-term degradation progression varies in a linear fashion over time. 5,6 The lifetime of a device, under this assumption, can then be estimated linearly after bypassing the transient low-activation-energy modes or burn-in period. 3,6,7,8 Alterna-tively, Kondo et al 9 proposed that the long-term degradation should be described by a cosh function or an exponential function of aging time.…”
Section: Introductionmentioning
confidence: 99%
“…5,6 The lifetime of a device, under this assumption, can then be estimated linearly after bypassing the transient low-activation-energy modes or burn-in period. 3,6,7,8 Alterna-tively, Kondo et al 9 proposed that the long-term degradation should be described by a cosh function or an exponential function of aging time. Many attempts to describe the aging of devices are device-specific, or failure-mode specific, and do not provide an organized, broader explanation to the generic degradation behavior.…”
Section: Introductionmentioning
confidence: 99%