Gaussian Mixture Model classifier analog integrated low-power implementation with applications in fault management detection

Abstract

An Integrated Analog Gaussian Mixture Model classifier architecture is introduced consisting of multiple Gaussian function circuits and a Winner-Take-All circuit. It is modular and scalable to the number of classes and clusters, and, to the input dimensionality. The operating principles of the classifier are illustrated in detail and are used in a low-power, low-voltage and fully-tunable implementation targeting bearing fault management applications. The implementation was done in a 90nm CMOS process using the Cadence IC Suite for the electrical and physical design. Post-layout simulation results were compared with a software implementation of the classifier confirming the proper operation of the design.