Bearing signature analysis as a medium for fault detection: A review
Rolling element bearings find widespread domestic and industrial application. Defects in
bearing unless detected in time may lead to malfunctioning of the machinery. Different …
bearing unless detected in time may lead to malfunctioning of the machinery. Different …
Bearing condition diagnosis and prognosis using applied nonlinear dynamical analysis of machine vibration signal
In this paper, we introduce a modified form of the correlation integral developed by
Grassberger and Procaccia referred to as the partial correlation integral, which can be …
Grassberger and Procaccia referred to as the partial correlation integral, which can be …
Two-phase flow pattern identification using continuous hidden Markov model
A Mahvash, A Ross - International journal of multiphase flow, 2008 - Elsevier
This paper presents a new method for identifying two-phase flow regimes from the
instantaneous local fluid phase signals using continuous hidden Markov model (CHMM) …
instantaneous local fluid phase signals using continuous hidden Markov model (CHMM) …
Application of CHMMs to two-phase flow pattern identification
A Mahvash, A Ross - Engineering Applications of Artificial Intelligence, 2008 - Elsevier
In this paper, the application of continuous hidden Markov models (CHMMs) in identifying
two-phase flow patterns is investigated. Air–water two-phase flows were realized in a …
two-phase flow patterns is investigated. Air–water two-phase flows were realized in a …
Identification of nonstationary time series based on SVM-HMM method
Q Shao, C Shao, C Feng - 2008 IEEE International Conference …, 2008 - ieeexplore.ieee.org
Nonstationary time series are occurring when the plant proceeds to an abnormal state or a
transient situation from a normal state. So it is necessary to identify the type of fault during its …
transient situation from a normal state. So it is necessary to identify the type of fault during its …
[PDF][PDF] Informatics Platform for Designing and Deploying E-Manufacturing Systems
JLLLE Lapira, JNL Li - researchgate.net
E-Manufacturing is a transformation system that enables the manufacturing operations to
achieve near-zerodowntime performance as well as to synchronize with the business …
achieve near-zerodowntime performance as well as to synchronize with the business …
Asenkron Motorlarda Arıza Özeliği Tesbiti Ve Durum İzleme İçin Saklı Markov Modelleri
HE Karatoprak - polen.itu.edu.tr
Özet Bu çalışmada, saklı markov modelleri kullanılarak, asenkron motorlarda rulman arızası
için özelik tesbiti ve durum izlemesi yapılmıştır. Arıza özeliği tesbiti uygulamasında çok …
için özelik tesbiti ve durum izlemesi yapılmıştır. Arıza özeliği tesbiti uygulamasında çok …
[PDF][PDF] ISTANBUL TECHNICAL UNIVERSITY★ INSTITUTE OF SCIENCE AND TECHNOLOGY
HE KARATOPRAK - 2008 - polen.itu.edu.tr
Induction motors are one of the most common electrical machines with a very wide range of
application field from home equipments to nuclear plants. Most of the industrial processes …
application field from home equipments to nuclear plants. Most of the industrial processes …
[引用][C] Hidden Markov models for fault characterization and condition monitoring of induction motors
HE Karatoprak - Fen Bilimleri Enstitüsü