Predicting Air Compressor Failures with Echo State Networks

Modern vehicles have increasing amounts of data streaming continuously on-board their controller area networks. These data are primarily used for controlling the vehicle and for feedback to the dri ...

[1]  Stefan Byttner,et al.  Networked vehicles for automated fault detection , 2009, 2009 IEEE International Symposium on Circuits and Systems.

[2]  Slawomir Nowaczyk,et al.  Evaluation of Self-Organized Approach for Predicting Compressor Faults in a City Bus Fleet , 2015, INNS Conference on Big Data.

[3]  R. Keith Mobley Condition based maintenance , 1998 .

[4]  Harald Haas,et al.  Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication , 2004, Science.

[5]  Cesare Alippi,et al.  A Self-Building and Cluster-Based Cognitive Fault Diagnosis System for Sensor Networks , 2014, IEEE Transactions on Neural Networks and Learning Systems.

[6]  Stefan Byttner,et al.  Estimating p-Values for Deviation Detection , 2014, 2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems.

[7]  Huanhuan Chen,et al.  Cognitive fault diagnosis in Tennessee Eastman Process using learning in the model space , 2014, Comput. Chem. Eng..

[8]  Huanhuan Chen,et al.  Learning in the Model Space for Cognitive Fault Diagnosis , 2014, IEEE Transactions on Neural Networks and Learning Systems.

[9]  Herbert Jaeger,et al.  The''echo state''approach to analysing and training recurrent neural networks , 2001 .

[10]  Gancho Vachkov Intelligent Data Analysis for Performance Evaluation and Fault Diagnosis in Complex Systems , 2006, 2006 IEEE International Conference on Fuzzy Systems.

[11]  Cesare Alippi,et al.  A "Learning from Models" Cognitive Fault Diagnosis System , 2012, ICANN.

[12]  Stefan Byttner,et al.  Consensus self-organized models for fault detection (COSMO) , 2011, Eng. Appl. Artif. Intell..

[13]  Stefan Byttner,et al.  Modeling for Vehicle Fleet Remote Diagnostics , 2007 .

[14]  Ratna Babu Chinnam,et al.  An Industrial Strength Novelty Detection Framework for Autonomous Equipment Monitoring and Diagnostics , 2010, IEEE Transactions on Industrial Informatics.

[15]  Byron A. Ellis,et al.  Condition Based Maintenance , 2008 .

[16]  Plamen Angelov,et al.  Autonomous Learning Systems: From Data Streams to Knowledge in Real-time , 2013 .

[17]  Huanhuan Chen,et al.  Combining learning in model space fault diagnosis with data validation/reconstruction: Application to the Barcelona water network , 2014, Eng. Appl. Artif. Intell..

[18]  Peter Tiño,et al.  Simple Deterministically Constructed Cycle Reservoirs with Regular Jumps , 2012, Neural Computation.

[19]  D.P. Filev,et al.  Novelty Detection Based Machine Health Prognostics , 2006, 2006 International Symposium on Evolving Fuzzy Systems.

[20]  Slawomir Nowaczyk,et al.  A field test with self-organized modeling for knowledge discovery in a fleet of city buses , 2013, 2013 IEEE International Conference on Mechatronics and Automation.