Anomaly and malfunction detection in complex plant using acoustics signals and signature analysis

Author： Kemeny L.  

Publisher： Institute of Noise Control Engineering

ISSN： 0736-2935

Source： INTER-NOISE and NOISE-CON Congress and Conference Proceedings, Vol.1991, Iss.3, 1991-12, pp. : 1129-1132

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Spectral analysis of acoustics and vibration signals using under-sampled data

By Wagstaff Peter   Chassaignon Christian  

INTER-NOISE and NOISE-CON Congress and Conference Proceedings, Vol. 2005, Iss. 6, 2005-07 ,pp. : 1954-1959

Institute of Noise Control Engineering

Access to resources Recommend Favorite

Anomaly Detection Based on Regularized Vector Auto Regression in Thermal Power Plant

By  

MATEC Web of conference, Vol. 35, Iss. issue, 2015-12 ,pp. : 06002-06002

Edp Sciences

Access to resources Recommend Favorite

Detection of minute chemical signals by principal component analysis

By Hasegawa T.  

TrAC Trends in Analytical Chemistry, Vol. 20, Iss. 2, 2001-02 ,pp. : 53-64

Elsevier

Access to resources Recommend Favorite

Using Low Resolution Satellite Imagery for Yield Prediction and Yield Anomaly Detection

By Rembold Felix   Atzberger Clement   Savin Igor   Rojas Oscar  

Remote Sensing, Vol. 5, Iss. 4, 2013-04 ,pp. : 1704-1733

MDPI

Access to resources Recommend Favorite

Based on Wide Area Environment Abnormal Behavior Analysis and Anomaly Detection Research

By  

MATEC Web of conference, Vol. 68, Iss. issue, 2016-08 ,pp. : 10006-10006

Edp Sciences

Access to resources Recommend Favorite