Online fault detection device installed in train car and used for high-speed train running component

An online fault detection device installed in a train car and used for a high-speed train running component, comprising a GPS module, a noise sensor, a 3G module, a solid-state drive, a microprocessor, a status indicator, and a buzzer;

• wherein input ends of the microprocessor are connected to an output end of the GPS module and an output end of the noise sensor respectively;
• output ends of the microprocessor are connected to an input end of the status indicator and an input end of the buzzer respectively;
• the microprocessor is interactively connected to the 3G module and the solid-state drive respectively;
• the GPS module is configured to collect position information and speed information of the train;
• the noise sensor is installed on a floor of the train car and includes a first noise sensor configured to collect noise signals transmitted by a train car body and a second noise sensor configured to collect noise signals in the train car jointly transmitted by the train car body and the air;
• the solid-state drive is configured to preset a normal running spectral database and a fault spectral database of the train, and to store the noise signals collected by the noise sensor;
• the microprocessor is configured to generate a waterfall color block spectrum by periodically collecting the noise signals through the noise sensor, and performing short-time Fourier transform on time domain data stream of the noise signals, and then compare the waterfall color block spectrum with an environmental noise spectrum to obtain a characteristic type of measured noise, thereby obtaining a cutoff frequency parameter of a high-order IIR low-pass filter;
• the microprocessor is further configured to calculate a spindle rotational speed of the train car according to the position information and the speed information of the train collected by the GPS module, and process the spindle rotational speed and the waterfall color block spectrum to generate a waterfall color block order spectrum;
• and
• then generate a time domain queue for each of order noise level values to obtain steady-state components for each order noise level after the time domain queue passes the high-order IIR low-pass filter;
• the microprocessor is further configured to compare the steady-state components for each order noise level with the normal running spectral database of the train, and determine whether a deviation exceeds standard according to comparison deviation results, if the deviation exceeds the standard, the microprocessor performs a fault alarm, and compares the deviation with the fault spectrum, if the deviation is not in the fault spectrum, the microprocessor uses it as suspected fault spectrum data;
• the microprocessor is further configured to input the alarmed suspected fault spectrum data into the database and manage the database;
• and determine that the suspected fault spectrum data is added into the fault spectrum database, or into the normal running spectral database of the train through filtering and determining by human intervening and judging, thus achieving continuous updating and improvement of the fault spectral database and the normal running spectral database of the train;
• the microprocessor is further configured to perform data interaction with a ground information center through the 3G module;
• the status indicator is configured to perform a fault indication;
• the buzzer is configured to prompt alarm.