A noise canceler includes a signal obtaining unit that obtains an observation signal obtained by sampling vibration of an apparatus; a signal delay unit that obtains a delay signal by delaying the observation signal obtained by the signal obtaining unit; and a Kalman filter processing unit that applies, to the observation signal and the delay signal, a Kalman filter that adapts a filter coefficient so as to reduce a residual signal between the observation signal and an estimated signal estimated based on the observation signal and the delay signal by an adaptive filter that incorporates the Kalman filter, and outputs the residual signal.

A temperature abnormality detection system includes: measurement devices; and a processor to determine temperature abnormality using a first temperature T1, a second temperature T2, and a third temperature T3. The processor determines occurrence of temperature abnormality when any one of following conditions is satisfied: (A) T1>A0 or T2>A0 or T3>A0; (B) T1>A1 and (T2−T1>A4 or T2−T1<0) and T2>A2 and T3>A3; (C) T1>A1 and T2−T1>A4 and T3>A3; (D) T1>A1 and T2−T1>A4 and (T3−T2>A5 or T3−T1>A6); and (E) T1>A1 and T2−T1<0 and (T3−T2>A7 or T3−T1>A8), where A1<A0, A2<A0, and A3<A0.

A temperature abnormality detection system includes: measurement devices; and a processor to determine temperature abnormality using a first temperature T1, a second temperature T2, and a third temperature T3. The processor determines occurrence of temperature abnormality when any one of following conditions is satisfied: (A) T1>A0 or T2>A0 or T3>A0; (B) T1>A1 and (T2−T1>A4 or T2−T1<0) and T2>A2 and T3>A3; (C) T1>A1 and T2−T1>A4 and T3>A3; (D) T1>A1 and T2−T1>A4 and (T3−T2>A5 or T3−T1>A6); and (E) T1>A1 and T2−T1<0 and (T3−T2>A7 or T3−T1>A8), where A1<A0, A2<A0, and A3<A0.

This signal analysis device provides information to assist determining the state of a time series signal. An identification unit (120) identifies events included in the time series signal, and a ranking generation unit (140) generates a ranking among multiple event types.

This signal analysis device provides information to assist determining the state of a time series signal. An identification unit (120) identifies events included in the time series signal, and a ranking generation unit (140) generates a ranking among multiple event types.

A system comprises a plurality of handheld devices including a plurality of transceivers. A control unit may be coupled to a handheld device of the plurality of handheld devices. The system may further include a plurality of end-of-train air devices coupled to a plurality of air brakes. An air manifold may be coupled to the plurality of air brakes. The system may include a controller coupled to the control unit and to the air manifold. A processor may be coupled to the controller and the control unit, and a non-transitory computer readable medium may be coupled to the processor. The non-transitory computer readable medium may include instructions executable to receive information from the control unit corresponding to an air brake test performed on the plurality of end-of-train air devices, determine a status of the air brake test, and generate an inspection form based on the received information and the determined status.

A system comprises a plurality of handheld devices including a plurality of transceivers. A control unit may be coupled to a handheld device of the plurality of handheld devices. The system may further include a plurality of end-of-train air devices coupled to a plurality of air brakes. An air manifold may be coupled to the plurality of air brakes. The system may include a controller coupled to the control unit and to the air manifold. A processor may be coupled to the controller and the control unit, and a non-transitory computer readable medium may be coupled to the processor. The non-transitory computer readable medium may include instructions executable to receive information from the control unit corresponding to an air brake test performed on the plurality of end-of-train air devices, determine a status of the air brake test, and generate an inspection form based on the received information and the determined status.

The present application provides a method, a device and a storage medium for predicting a remaining service life of a rail transit hardware device, the method including: generating particles of the hardware device at an initial moment; determining a state equation for a moment of prediction from a pre-established multi-stage state variation equation; determining particle weights at the moment of prediction on the basis of the state equation for the moment of prediction; predicting a state value at the moment of prediction according to the particle weights at the moment of prediction and the state equation for the moment of prediction; and determining the remaining service life of the hardware device on the basis of the state value at the moment of prediction.

The present application provides a method, a device and a storage medium for predicting a remaining service life of a rail transit hardware device, the method including: generating particles of the hardware device at an initial moment; determining a state equation for a moment of prediction from a pre-established multi-stage state variation equation; determining particle weights at the moment of prediction on the basis of the state equation for the moment of prediction; predicting a state value at the moment of prediction according to the particle weights at the moment of prediction and the state equation for the moment of prediction; and determining the remaining service life of the hardware device on the basis of the state value at the moment of prediction.

The present disclosure discloses a monitoring device for internal deformation and fine particle loss of a railway subgrade, relating to the field of monitoring devices. The monitoring device includes an internal damage monitoring device arranged in a subgrade ballast layer. The internal damage monitoring device is connected to a resistance acquisition instrument through a wire. The resistance acquisition instrument is in wireless connection with a resistance signal receiver. The monitoring device for internal deformation and fine particle loss of a railway subgrade provided by the present disclosure can remotely realize real-time continuous monitoring of the deformation and fine particle loss inside the railway subgrade under a rail transit load, is economical and convenient, and has high practice value.