Degradation modeling and monitoring of machines using operation-specific hidden Markov models

ME Cholette, D Djurdjanovic - IIE Transactions, 2014 - Taylor & Francis
In this article, a novel data-driven approach to monitoring of systems operating under
variable operating conditions is described. The method is based on characterizing the …

Wavelet and scalar indicator based fault assessment approach for rolling element bearings

D Paliwal, A Choudhury, G Tingarikar - Procedia materials science, 2014 - Elsevier
A failed rolling element bearing when removed from a machine mostly displays cracks and
flaking. Identification of such defects along with the severity of damage may avoid …

Identification of faults through wavelet transform vis-à-vis fast Fourier transform of noisy vibration signals emanated from defective rolling element bearings

D Paliwal, A Choudhur, T Govandhan - Frontiers of Mechanical …, 2014 - Springer
Fault diagnosis of rolling element bearings requires efficient signal processing techniques.
For this purpose, the performances of envelope detection with fast Fourier transform (FFT) …

[HTML][HTML] An approach for tool health assessment using the Mahalanobis-Taguchi system based on WPT-AR

C Lu, Y Cheng, Z Wang, J Bei - Journal of Vibroengineering, 2014 - extrica.com
A real-time tool health assessment has a significant implication on reliable machining
operations. This paper proposes a health assessment method for tools in milling machine …

[PDF][PDF] Faults diagnosis for vibration signal based on HMM

S Qiang, S Peng, F Changjian - Sensors & Transducers, 2014 - sensorsportal.com
Faults behaviors of automotive engine in running-up stage are shown a multidimensional
pattern that evolves as a function of time (called dynamic patterns). It is necessary to identify …

A Novel Approach for Detection of Bearing Defects from Noisy Vibration Signal

D Paliwal, A Choudhury, T Govardhan… - Applied Mechanics …, 2014 - Trans Tech Publ
Vibration signal of a defective bearing carries fault related information. The aim of this paper
is to develop a signal processing methodology that identifies the presence of defect from …