In the past decades Machine Learning algorithms have been successfully used in several classification problems. While they often significantly outperform domain experts (in terms of classification accuracy or otherwise), they are mostly not being used in practice. A plausible reason for this is that it is difficult to obtain an unbiased estimation of a single classification’s reliability. While...

This paper proposes a soft-error model for accurately estimating reliability of a computer system at the architectural level within reasonable computation time. The architectural-level soft-error model identifies which part of memory modules are utilized temporally and spatially and which single event upsets (SEUs) are critical to the program execution of the computer system at the cycle accura...

System lifespan modeling becomes more complicated when an external event causes the succession of failure in 2 or more system components. Models that don’t consider this common cause failure cause the wrong estimation of system reliability. Let us assume that there are data composed of numbers of successive failures in i, i = 1, ... , n out of n components of system. Data having these character...

Maintenance management has a direct influence on equipment reliability and safety. However, a large portion of traditional maintenance models and reliability analysis methods usually assumes that only perfect maintenance is performed on the system and the system will restore to as good as new regardless of the kind of preventive maintenance work-order that is performed. This is not practical in...

Electrical Mechanical Systems for Command, Control, Communications. Essentially the area under the curve defined by the PDF of the PDF from t.The reduction of system reliability due to accumulated damage is quantitatively. THE reliability of a mechanical system may be defined as the.The estimation of reliability of mechanical systems under variable constraints. The probability density function ...