A method for performing a plurality of measurements in the air gap between a stator and a rotor of a generator for a wind turbine is provided The method steps include: mounting distance measuring sensors on a surface of the stator and/or the rotor, the surface facing the air gap, each distance measuring sensor distanced from the other distance measuring sensor(s) along rotational axis, rotating the rotor about the rotational axis, while rotating the rotor, measuring distances between the distance measuring sensors and respective facing points across the air gap, deriving from the distances one or more value(s) of one or more parameter(s) associated with the air gap and/or the stator and/or rotor, wherein a portion of distance measuring sensors are fixed to a longitudinal support, the longitudinal support being fixed on a surface of the stator and/or the rotor, the surface facing the air gap, during the step of mounting.

An inspection system for a wind power generator includes a drone that transmits image information obtained by capturing images of a wind power generator and the surroundings of the wind power generator, and sensor detection information for detecting the wind power generator and the surroundings of the wind power generator; an inspection server that receives, from the drone, the image information and the sensor detection information as a transmission; and a mobile device that receives the image information and the sensor detection information, and controls operation of the drone by transmitting at least one instruction to the drone. On the basis of at least one piece of information from among the image information and the sensor detection information, the inspection server may identify a location of the wind power generator and inspect a current state of the wind power generator.

A method and system for early fault detection in a wind turbine generator (7) is provided. A vibration signal of noise produced by the generator is received. A periodic signal component related to the number of rotor bars of a rotor (11) of the generator (7) is identified in the vibration signal, and a potential fault in the stator of the generator is identified based at least in part on a change in characteristic of the periodic signal component over time.

A method is provided for monitoring the temperature of an electric generator of a wind turbine, wherein the generator has a stator, a rotor and a temperature monitoring unit. The temperature monitoring unit has a passive control element on the rotor and a receiving unit on the stator. A change in temperature on the rotor leads to a mechanical or optical change in the passive control element. The mechanical or optical change in the passive control element is acquired by the receiving unit on the stator.

An apparatus for measuring a wind power generator air gap is disclosed. The apparatus is capable of measuring a measure (air gap) of a large structure with a diameter exceeding several meters which constitutes a wind power generator and verifying reliability of the air gap before assembly. The apparatus includes a support with a rotating driver therein, a first frame having an inner end fixed on the support, a second frame provided above the first frame at an interval, a spacer provided below the second frame, a turning bearing fixing the first frame and rotating the second frame, n (n is a natural number) dummy magnets provided on an outer end of the first frame, n (n is a natural number) dummy coils provided on an outer end of the second frame, and an air gap measuring means measuring an air gap between the dummy magnets and the dummy coils.

Disclosed is an explainable method for monitoring a state of a generator of a wind turbine generator system on the basis of a spatio-temporal graph. The method includes: S1: acquiring data collected by a supervisory control and data acquisition (SCADA) system; S2: carrying out data understanding on the SCADA data, selecting features associated with the generator, and carrying out data preparation on the selected feature data, and obtaining valid data; S3: embedding the SCADA data, and forming a directed spatio-temporal graph data sequence; and S4: carrying out modeling of a normal behavior model of the generator on the constructed directed spatio-temporal graph data sequence, computing a full-graph-level residual and a node-level residual, computing a residual through an exponentially weighted moving average (EWMA) control chart method, carrying out full-graph-level state monitoring on the generator, forming a fault information transmission chain relation, and enhancing explainability and robustness of a monitoring result.

Computer-implemented method for monitoring a generator (13) of a wind turbine (1) for detecting interturn short-circuit faults in at least one stator winding set (15, 23) of the generator (13), wherein a strength of a second harmonic of a power produced from the stator winding set (15, 23) and the DC value of the power are determined, wherein, in respective time steps, a first analysis criterion describing the DC value of the power being constant evaluates the DC value of the power, a second analysis criterion describing the occurrence of a transient in the strength of the second harmonic evaluates the strength of the second harmonic, and an interturn short-circuit fault signal is generated if the first and the second analysis criterion both yield true for a given number of time steps.