Abstract: The technology disclosed relates to systems and methods for diagnosing system malfunction and isolating a cause of system malfunction. The method includes applying preprocessors to time series data. The preprocessors detect time series discontinuities, drift, lack of expected correlation, and trends. The method includes feeding, for at least one image channel in one sequencing run, at least part of the output of the preprocessors to a trained tree-based classifier and receiving a classification of the particular sequencing run as abnormal. The abnormal classification can indicate a system malfunction. The method includes feeding at least part of the output of the preprocessors for the abnormal sequencing run to an expert rule system. The expert rule system can isolate a root cause of the system malfunction to a particular subcomponent in need of adjustment or replacement. The method can generate a notification of the particular subcomponent causing the system malfunction.

Abstract: Examples dis closed herein relate to receiving a first sta tus update from a device according to a communication profile, determining whether a communication problem occurred from the device, and in response to determining that the communication problem occurred from the first device, updating the communication profile for the first device and receiving a second status update from the device according to the updated communication profile.