Techniques for distributed machinery monitoring

1. Field of the Invention Techniques for monitoring a machine for significant deviations from normal operations include collecting, at a first processing element, sensor data about the machine. The first processing element performs narrowband frequency domain processing to determine a segment of sensor data that indicates a deviation from normal operations that exceeds a threshold deviation. A message including the segment of sensor data is sent to a second processing element. In response to receiving the message, the second processing element performs different narrowband frequency domain processing to determine whether the deviation from normal operations is significant for maintaining the machine. If the deviation from normal operations is determined to be significant for maintaining the machine, then the deviation is reported to cause the machine to be maintained.