Abstract: The present subject matter is directed to a method for managing and/or categorizing trip faults of an electrical component, such as power converter, of a wind turbine. The method includes receiving, via a local controller of the wind turbine, an indication of at least one trip fault in the electrical component of the wind turbine. The method also includes determining, via the local controller, a unique identifier for the trip fault. More specifically, the unique identifier contains information regarding a type of the trip fault and at least one of an origin or a cause, of the trip fault. Further, the method includes sending, via the local controller, the unique identifier to a supervisory controller of the wind turbine. Thus, the method also includes implementing, via the supervisory controller, a control action based on the unique identifier.

Abstract: The present subject matter is directed to a method for managing and/or categorizing trip faults of an electrical component, such as power converter, of a wind turbine. The method includes receiving, via a local controller of the wind turbine, an indication of at least one trip fault in the electrical component of the wind turbine. The method also includes determining, via the local controller, a unique identifier for the trip fault. More specifically, the unique identifier contains information regarding a type of the trip fault and at least one of an origin or a cause, of the trip fault. Further, the method includes sending, via the local controller, the unique identifier to a supervisory controller of the wind turbine. Thus, the method also includes implementing, via the supervisory controller, a control action based on the unique identifier.

Abstract: The disclosure includes a system, a computer program product, and a method for inspecting a turbine system. In one embodiment, the system includes at least one computing device configured to inspect a turbine system by performing actions including: obtaining a set of pre-maintenance digital images of the turbine system, obtaining a set of post-maintenance digital images of the turbine system, comparing the set of pre-maintenance digital images with the set of post-maintenance digital images to identify an anomaly in the set of post-maintenance digital images, and comparing the set of post-maintenance digital image with a set of computer modeled image of the turbine system to determine a type of the anomaly in response to identifying the anomaly. The post-maintenance digital images depict the turbine system after a maintenance process has been performed on the turbine system.

Abstract: The disclosure includes a system, a computer program product, and a method for inspecting a turbine system. In one embodiment, the system includes at least one computing device configured to inspect a turbine system by performing actions including: obtaining a set of pre-maintenance digital images of the turbine system, obtaining a set of post-maintenance digital images of the turbine system, comparing the set of pre-maintenance digital images with the set of post-maintenance digital images to identify an anomaly in the set of post-maintenance digital images, and comparing the set of post-maintenance digital image with a set of computer modeled image of the turbine system to determine a type of the anomaly in response to identifying the anomaly. The post-maintenance digital images depict the turbine system after a maintenance process has been performed on the turbine system.

Abstract: A photovoltaic (PV) power generation system is described. The system includes at least one PV module comprising a plurality of PV cells, a plurality of sensors, and a processing device communicatively coupled to the plurality of sensors. The processing device is configured to determine a power output each of the plurality of PV cells, receive data from the plurality of sensors, and identify a faulty sensor within the plurality of sensors based at least partially on the determined power output and the received data.

Abstract: A photovoltaic (PV) power generation system is described. The system includes at least one PV module comprising a plurality of PV cells, a plurality of sensors, and a processing device communicatively coupled to the plurality of sensors. The processing device is configured to determine a power output each of the plurality of PV cells, receive data from the plurality of sensors, and identify a faulty sensor within the plurality of sensors based at least partially on the determined power output and the received data.

Abstract: A method for monitoring a wind turbine is provided. An operating parameter, including a parameter value and a data quality value, is created by a controller. The parameter value is based on a signal received by the controller from a source. The data quality value indicates the source and/or a reliability of the parameter value. The operating parameter is processed based on the data quality value. Processing may include, for example, creating a graphical representation of the operating parameter or assigning a weight to the operating parameter for use in a calculation.