In-transit intelligent train air conditioning unit fault diagnosis method, device and equipment and medium

Abstract

The invention discloses an in-transit intelligent train air conditioning unit fault diagnosis method, device and equipment and a medium, and the method comprises the steps: constructing a standard event template library according to a standard electric power time sequence, and enabling the standard event template library to comprise transient and steady state standard event templates; obtaining corresponding transient and steady-state time sub-sequences according to the historical electric power time sequence; finding matched transient and steady-state standard event templates in a standard event template library to obtain corresponding historical electric power steady-state residual sub-sequences, and training an extreme learning machine by taking the historical electric power steady-state residual sub-sequences as historical samples to obtain a train air conditioning unit fault prediction model; and obtaining a real-time electric power time sequence of the air conditioning unit of the train on the way, obtaining a corresponding real-time electric power residual error sequence according to the same method, and inputting the real-time electric power residual error sequence into thetrain air conditioning unit fault prediction model, thereby predicting the fault type of the air conditioning unit of the train on the way. The number of sensors needing to be additionally arranged is small, the cost is low, and the fault prediction accuracy is high.

Description

technical field [0001] The invention relates to the field of fault identification of train air-conditioning units, in particular to a fault diagnosis method, device, equipment and medium of an in-transit intelligent train air-conditioning unit. Background technique [0002] With the rapid development of passenger trains in modern society, the application of train air conditioning units in passenger trains is becoming more and more extensive. The airtightness of the current passenger trains is relatively good, which directly leads to poor air circulation in the compartments; during the peak period of Spring Festival travel, the density of people in the trains is higher, and the requirements for ventilation in the compartments are higher, which requires the train air conditioner to be able to operate for a long time without failure to work. Therefore, it is of great significance to construct a set of accurate fault diagnosis methods for train air-conditioning units. [0003]...

Images