Prognostic Analysis of the Tactical Quiet Generator

Phase Space Dissimilarity Measures for Structural Health Monitoring

“…One goal of the present work is development of this algorithm for SHM. The algorithm has been successful in failure forewarning in a tactical quiet generator (Hively 2008), a helicopter gearbox , and epileptic seizure episodes .…”

“…The failure forewarning mode is used on continuous, non-stationary data. This mode has been used by the authors in previous applications, including predicting failure in a tactical quiet generator (Hively 2008) and a helicopter gearbox ), and forewarning epileptic seizure events from EEG data . The statistical test methodologies for each mode of the algorithm are summarized below.…”

“…Consequently, a measure of order in the signal (Shannon entropy, E) vs the number of uniform data symbols (S) allows determination of the average number of bits of information (b) in the data as the maximum in E vs S = 2b; less than five bits of information corresponds to excessive noise. The garbage-in-garbage-out syndrome is avoided by rejection of data that fails one or more of these tests (Hively 2008).…”