Condition-based maintenance strategy for vehicles using hidden Markov models

Using Hidden Markov Models for fault diagnostics and prognostics in Condition Based Maintenance systems

Condition Based Maintenance (CBM)) is a concept that has become more and more important as the cost, size, and complexity of mechanical components has increased. As more sensor equipment has become available it has become possible to measure different kinds of status data, such as vibration, temperature, or electric current, from different kinds of mechanical components. By using this status da...

Unsupervised Machine Condition Monitoring Using Segmental Hidden Markov Models

The task of machine condition monitoring is to detect machine failures at an early stage such that maintenance can be carried out in a timely manner. Most existing techniques are supervised approaches: they require user annotated training data to learn normal and faulty behaviors of a machine. However, such supervision can be difficult to acquire. In contrast, unsupervised methods don’t need mu...

Wavelet-based denoising using hidden Markov models

Hidden Markov models have been used in a wide variety of waveletbased statistical signal processing applications. Typically, Gaussian mixture distributions are used to model the wavelet coefficients and the correlation between the magnitudes of the wavelet coefficients within each scale and/or across the scales is captured by a Markov tree imposed on the (hidden) states of the mixture. This pap...

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Availability analysis of mechanical systems with condition-based maintenance using semi-Markov and evaluation of optimal condition monitoring interval

Maintenance helps to extend equipment life by improving its condition and avoiding catastrophic failures. Appropriate model or mechanism is, thus, needed to quantify system availability vis-a-vis a given maintenance strategy, which will assist in decision-making for optimal utilization of maintenance resources. This paper deals with semi-Markov process (SMP) modeling for steady state availabili...