A system for wirelessly monitoring temperatures of a gas turbine engine comprising a wireless sensor positioned on or in a component of the engine, one or more interrogating antennas capable of transmitting an RF signal to the wireless sensor and receiving an RF return signal from the wireless sensor, and a processing unit capable of interpreting the RF return signal to determine a temperature of the component inside the engine. In an embodiment, the wireless sensor comprises polymer derived ceramics (“PDC”) deposited on an Inconel surface of the engine. In an embodiment, the wireless sensor sustains temperatures up to 1000° C. during long term operation of the part of the engine. In an embodiment, the wireless sensor comprises multiple layers including a metallic patch antenna, a PDC layer, and a bond coat which provides a metallic ground plane for the sensor.

A processing apparatus acquires a first rise transition that is a rise transition of the temperature of a winding and a second rise transition that is a rise transition of the temperature detected by a temperature sensor in a state where voltage application for raising the temperature of the winding to a predetermined temperature is performed, determines a predetermined temperature characteristic model by calculating a predetermined parameter on the basis of the second rise transition, and further determines a winding temperature characteristic model by calculating a winding related parameter on the basis of the first rise transition.

A temperature sensor (116) comprises an electrical circuit (204) including a thermistor (206) intended to be placed next to an object (112); a temperature measurement module (222) configured for determining a measured temperature (T_M) of the thermistor (206) from a resistance of the thermistor (206); and a command module (224) configured for providing a command (C) to the electrical circuit (204) for modifying the electrical circuit (204) in a way that changes a current (IT) flowing in the thermistor (206). The temperature sensor (116) further comprises a thermal loss determination module (226) configured for determining a thermal loss (L) of the thermistor (206) from the thermistor measured temperature (T_M) and the command (C); and a temperature estimation module (228) configured for estimating a temperature (T0_E) of the object (112) from the thermistor measured temperature (T_M) and from the thermal loss (L) of the thermistor (TH).

A temperature sensor (116) comprises an electrical circuit (204) including a thermistor (206) intended to be placed next to an object (112); a temperature measurement module (222) configured for determining a measured temperature (T_M) of the thermistor (206) from a resistance of the thermistor (206); and a command module (224) configured for providing a command (C) to the electrical circuit (204) for modifying the electrical circuit (204) in a way that changes a current (IT) flowing in the thermistor (206). The temperature sensor (116) further comprises a thermal loss determination module (226) configured for determining a thermal loss (L) of the thermistor (206) from the thermistor measured temperature (T_M) and the command (C); and a temperature estimation module (228) configured for estimating a temperature (T0_E) of the object (112) from the thermistor measured temperature (T_M) and from the thermal loss (L) of the thermistor (TH).

A wireless and cellular vibration monitoring device (2) comprising a connection structure (6) suitable for attaching the monitoring device (2) to equipment to be monitored is disclosed. The monitoring device (2) comprises a temperature sensor (8) and a vibration sensor (10) configured to remotely monitor vibration and temperature transferred to the monitoring device (2) via the connection structure (6). The device comprises an integrated satellite-based radio-navigation system for location detection. The monitoring device (2) comprises a metal base (4) comprising a body portion (56) comprising a threaded portion (6) constituting the connection structure (6). The threaded portion (6) comprises male threads and protrudes from the body portion (56) of the base (4). The temperature sensor (8) is thermally connected to the body portion (56) of the base (4).

A wireless and cellular vibration monitoring device (2) comprising a connection structure (6) suitable for attaching the monitoring device (2) to equipment to be monitored is disclosed. The monitoring device (2) comprises a temperature sensor (8) and a vibration sensor (10) configured to remotely monitor vibration and temperature transferred to the monitoring device (2) via the connection structure (6). The device comprises an integrated satellite-based radio-navigation system for location detection. The monitoring device (2) comprises a metal base (4) comprising a body portion (56) comprising a threaded portion (6) constituting the connection structure (6). The threaded portion (6) comprises male threads and protrudes from the body portion (56) of the base (4). The temperature sensor (8) is thermally connected to the body portion (56) of the base (4).

An object is to improve estimation accuracy of the internal distribution state of a rotating electric machine. The rotating electric machine includes a stator; a rotor rotatably provided on a radially inner side of the stator; a shaft provided as a rotary shaft of the rotor; a bracket supporting the shaft rotatably relative to the stator via a bearing; and a sensor provided to the shaft between the rotor and the bearing.

An object is to improve estimation accuracy of the internal distribution state of a rotating electric machine. The rotating electric machine includes a stator; a rotor rotatably provided on a radially inner side of the stator; a shaft provided as a rotary shaft of the rotor; a bracket supporting the shaft rotatably relative to the stator via a bearing; and a sensor provided to the shaft between the rotor and the bearing.

A method for estimating the temperature of a component being monitored is described herein, comprising: inputting data related to the component being monitored into a brake thermal model; using the brake thermal model to predict a temperature of the component based on the input data; inputting a) actual temperature sensor measurement data of the component and b) the predicted temperature into an estimation algorithm, wherein the estimation algorithm combines the a) actual temperature sensor data and b) predicted temperature and generates an estimated brake temperature of the component based on the combined inputs. A computer-implemented system is also described.

A control apparatus includes: a rotor temperature estimation unit estimating a temperature of a rotor based on stator temperature information from a first temperature sensor for identifying a temperature of a stator, refrigerant temperature information from a second temperature sensor for identifying a temperature of refrigerant used to cool an electric motor, and rotation speed information about the rotor from a resolver for identifying a rotation speed of the rotor; and an electric motor control unit controlling at least one of an output characteristic and a drive condition of the electric motor based on the temperature of the rotor estimated by the rotor temperature estimation unit.