Abstract: Systems, methods, and devices for monitoring industrial equipment using audio are described herein. One system includes two computing devices. The first computing device can receive, from an audio sensor, audio sensed during operation of industrial equipment, extract a plurality of features from the audio, determine whether any portion of the audio is anomalous, and send, upon determining a portion of the audio is anomalous, the anomalous portion of the audio to the second, remotely located, computing device. The second computing device can provide the anomalous portion of the audio to a user to determine whether the anomalous portion of the audio corresponds to a fault occurring in the equipment, and receive, from the user upon determining the anomalous portion of the audio corresponds to a fault occurring in the equipment, input indicating the anomalous portion of the audio corresponds to the fault to learn fault patterns in the equipment.

Abstract: A model predictive controller (MPC) for predictive control of nonlinear processes utilizing an EKF (Extended Kalman Filter) and a nominal trajectory generator. The nominal trajectory generator includes another instance of EKF, a linear corrector, and a time-varying deviation model. A nominal control trajectory can be predicted and an optimal solution for the time-varying deviation model can be computed based on an approximation of a system inverse known as signal de-convolution. The EKF can be utilized to estimate a current process state by supplying a measured output and to predict a future nominal trajectory by supplying a reference output. A Kalman smoother can also be utilized for the signal de-convolution in order to obtain enhanced trajectory estimates.

Abstract: Methods and apparatus for a MEMS sensor package are provided. In one embodiment, a MEMS sensor package comprises a MEMS sensor; a sensor body permeable to gas leakage at a first leak rate; a backfill gas that pressurizes the sensor body to a backfill pressure; wherein the backfill pressure provides a dampening of the MEMS sensor; and wherein the backfill pressure is set such than any increase in pressure within the sensor body due to gas leakage will not cause a deviation in a Q value of the MEMS sensor beyond a predefined range for at least a specified design service life for the MEMS sensor package.

Abstract: A system for aligning data is provided. The system comprises a demultiplexing component adapted to bifurcate a double data rate (DDR) data stream into first and second single data rate (SDR) data streams, a delay architecture adapted to generate delayed SDR data streams from the SDR data streams, a logic circuit adapted to analyze the SDR data streams and delayed SDR data streams to detect a predetermined bit pattern conveyed in the DDR data stream and to indicate detection of the predetermined bit pattern, and a data aligning component adapted to determine the number of intervening bits between occurrences of the predetermined bit pattern and to frame the intervening bits, thereby producing aligned data.