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Condition Monitoring Of Drive Trains By Data Fusion Of Acoustic Emission And Vibration Sensors


Early damage detection and classification by condition monitoring systems is crucial to enable predictive maintenance of manufacturing systems and industrial facilities. The data analysis can be improved by applying machine learning algorithms and fusion of data from heterogenous sensors. This paper presents an approach for a step-wise integration of classifications gained from vibration and ac... » read more

Using An Integrated Subsystem To Accelerate Data Fusion In Your SoC


The fusion of sensor data, voice, audio and biometrics is constantly increasing the processing requirements for applications in mobile, automotive and IoT markets. Next-generation digital sensors require higher bandwidths, and more advanced voice detection and speech recognition algorithms are driving the development of progressively more complex embedded ICs. Sensor fusion to data fusion T... » read more