… and prognostics framework based on health state probability estimation for accurate and
long-term prediction of machine … and prognostics system for classification of impending faults in …

… In this work, the health state probability estimations were conducted using the … machine
prognostics being conducted based on the probability distributions of each health states. To …

… This paper contributes an intelligent machine prognostics system based on probability
estimation of CM data of historical units when some data were censored and not undergo failure. …

… model, the health states probability estimation of discrete … classifier for the health state
probability estimation in this paper … machine prognostic model based on health state probability …

… log-likelihoods of health-state HMMs for calculating RUL [12]… effective diagnostics and
prognostics results by overcoming … lack of health-state transition probability for RUL estimation). In …

… an innovative prognostic model based on health state probability estimation embedded in
… In this research, a new prognostics system based on health state estimation with embedded …

… rotating machinery, machine health monitoring and prognostics … Machine health monitoring
means measuring or recording … is calculated by partial likelihood estimation and has different …

… From a nonlinear Bayesian state estimation standpoint, the machine health prognostics are
accomplished by the integration of LR and HOPF as follows:(20) x k = x ^ k + ω k − 1 (21) x ^ …

… life, future condition, or probability of reliable operation of an … maintenance regardless of the
machine's health condition. The … , whereas machine prognosis is the automated estimation of …

… , health indicator (HI) construction, health … on machinery prognostics following its whole
program, ie, from data acquisition to RUL prediction. First, in data acquisition, several prognostic …