Data fusion method and system for fuel cell engine fault prediction

Abstract

The invention discloses a data fusion method and system for fuel cell engine fault prediction, and the method comprises the following steps: S1, obtaining an actual measurement fault sample through atest; S2, obtaining a simulation fault sample; S3, performing feature-level fusion on the actual measurement fault sample and the simulation fault sample to obtain a first fusion sample; S4, performing data-level fusion on the first fusion sample and an actual measurement fault sample to obtain a second fusion sample; and S5, jointly taking the second fusion sample and the actually measured faultsample as a training sample of a fuel cell engine fault prediction model. According to the invention, the problem of insufficient experimental data of fuel cell engine fault prediction can be solved.

Description

technical field

[0001] The invention relates to the technical field of fuel cell vehicle engine fault diagnosis, in particular to a data fusion method and system for fuel cell engine fault prediction. Background technique

[0002] With the continuous development of fuel cell vehicle technology, fuel cell vehicles have gradually become practical. However, in the prior art, because the fuel cell vehicle has not been put into practical use in large quantities, the fault diagnosis of the engine of the fuel cell vehicle is still seldom involved.

[0003] However, there are very few studies on fuel cell engine failure prediction. The difficulty of fuel cell engine failure prediction mainly lies in: because fuel cell vehicles have not been widely used, and the failure data of fuel cell engines is too small, it is difficult for existing prediction models to make predictions based on too little data. In addition, even through large-scale trials, it is difficult to obtain a sufficie...

Examples

Embodiment 1

[0053] Please refer to Figure 1 to Figure 5 , the present invention proposes a data fusion method for fuel cell engine failure prediction, which includes the following steps,

[0054] S1. Acquire actual fault samples through tests; in specific implementation, the actual fault samples are obtained from tests or the fault data generated during the actual application of the fuel cell engine. In the prior art, since the application of the fuel cell engine is still in the early stage, and the fuel cell steam engine involves the fields of electrochemistry, kinetics, thermodynamics and fluid mechanics, its structure is extremely complex. In the prior art, the accumulated fault data is difficult to support the research work on fuel cell fault prediction.

[0055]S2. Acquiring simulated fault samples. Specifically, based on multiple physical domains such as system dynamics domain, electrochemical domain, fluid dynamics domain, and thermodynamic domain, corresponding mathematical mod...

Embodiment 2

[0082] Please refer to Image 6 , this embodiment proposes a data fusion system for fuel cell engine failure prediction, which includes,

[0083] A data acquisition module, the data acquisition module is used to obtain measured fault data to obtain measured fault samples;

[0084] The simulation module is used to obtain simulated fault samples of the combustion battery engine through simulation;

[0085] The first data fusion module is electrically connected to the data acquisition module and the simulation module, and is used to perform feature-level fusion of the measured fault samples and the simulated fault samples to obtain a first fusion sample;

[0086] The second data fusion module is electrically connected to the first data fusion module and the data acquisition module, and is used for data fusion of the first fusion sample and the measured fault sample to obtain a second fusion sample.

[0087] Specifically, the data acquisition module includes a vibration sensor, ...

technical field

[0001] The invention relates to the technical field of fuel cell vehicle engine fault diagnosis, in particular to a data fusion method and system for fuel cell engine fault prediction. Background technique

[0002] With the continuous development of fuel cell vehicle technology, fuel cell vehicles have gradually become practical. However, in the prior art, because the fuel cell vehicle has not been put into practical use in large quantities, the fault diagnosis of the engine of the fuel cell vehicle is still seldom involved.

[0003] However, there are very few studies on fuel cell engine failure prediction. The difficulty of fuel cell engine failure prediction mainly lies in: because fuel cell vehicles have not been widely used, and the failure data of fuel cell engines is too small, it is difficult for existing prediction models to make predictions based on too little data. In addition, even through large-scale trials, it is difficult to obtain a sufficie...

Examples

Embodiment 1

[0053] Please refer to Figure 1 to Figure 5 , the present invention proposes a data fusion method for fuel cell engine failure prediction, which includes the following steps,

[0054] S1. Acquire actual fault samples through tests; in specific implementation, the actual fault samples are obtained from tests or the fault data generated during the actual application of the fuel cell engine. In the prior art, since the application of the fuel cell engine is still in the early stage, and the fuel cell steam engine involves the fields of electrochemistry, kinetics, thermodynamics and fluid mechanics, its structure is extremely complex. In the prior art, the accumulated fault data is difficult to support the research work on fuel cell fault prediction.

[0055]S2. Acquiring simulated fault samples. Specifically, based on multiple physical domains such as system dynamics domain, electrochemical domain, fluid dynamics domain, and thermodynamic domain, corresponding mathematical mod...

Embodiment 2

[0082] Please refer to Image 6 , this embodiment proposes a data fusion system for fuel cell engine failure prediction, which includes,

[0083] A data acquisition module, the data acquisition module is used to obtain measured fault data to obtain measured fault samples;

[0084] The simulation module is used to obtain simulated fault samples of the combustion battery engine through simulation;

[0085] The first data fusion module is electrically connected to the data acquisition module and the simulation module, and is used to perform feature-level fusion of the measured fault samples and the simulated fault samples to obtain a first fusion sample;

[0086] The second data fusion module is electrically connected to the first data fusion module and the data acquisition module, and is used for data fusion of the first fusion sample and the measured fault sample to obtain a second fusion sample.

[0087] Specifically, the data acquisition module includes a vibration sensor, ...

Images