Mathematical Problems in Engineering / 2015 / Article / Fig 4

Research Article

Hidden Semi-Markov Models for Predictive Maintenance

Figure 4

Condition monitoring using the Viterbi path. HSMMs can be effective to solve condition monitoring problems in time-dependent applications due to their high accuracy in hidden state recognition.
(a) State estimation with Viterbi path for continuous data and Gamma duration distribution
(b) State estimation with Viterbi path for discrete data and Gaussian duration distribution

We are committed to sharing findings related to COVID-19 as quickly as possible. We will be providing unlimited waivers of publication charges for accepted research articles as well as case reports and case series related to COVID-19. Review articles are excluded from this waiver policy. Sign up here as a reviewer to help fast-track new submissions.