The tool: non-intrusive, in situ, real time sensor...
“The work carried out for this PhD thesis has improved and optimised a detection method developed at Laplace Laboratory in order to transfer its use to industry. We were able to validate this detection method in an industrial environment thanks to a partnership between the academic and business worlds, put in place by IRT Saint Exupéry in support of this thesis,” says Thierry Lebey, senior CNRS researcher and director of Laplace Laboratory.
…combined with a software inspired by the wavelet theory
It is linked to a method for detecting partial discharge by suppressing the electromagnetic noise in real time using digital processing of the signal based on an innovative application of the wavelet theory pioneered by Frenchman Yves Meyer, recently awarded Abel Prize for mathematics in 2017.
“ACTIA has opened an engine test bench at the IRT in order to carry out tests to evaluate the performance of this tool in the field of electric traction. Consisting of a probe, a whip antenna and a signal analyser, this complex tool represents a significant innovation: it is non-invasive, inexpensive and very simple to implement. Today, several applications of this tool are under consideration: in the field of preventive maintenance and as a tool for validating the performance of dielectric insulation,” explains Pierre Narat, head of Electric Vehicle Solutions at Actia.
The revelance of the IRT model
The IRT model was able to bring together basic research and the needs of industry. On one hand, an internationally renowned academic research team made good progress in physical phenomenon understanding and measuring partial discharge. On the other hand, it had been identified the needs of industry in terms of sensor and diagnostic software, with testing development.
A lot of potential ways to be explored
The tool will potentially now be used in surveillance and health monitoring for electric vehicles, providing regular checks or constant surveillance of systems.
The project is continuing on several fronts. First off, a marketable measurement system could be developed with an industrial partner. Next, this method covers a single phase so it could be adapted to three phases as electric motors are usually three-phases. Another idea is to use multiple sensors to identify where the partial discharge is coming from. This method could indeed become a standard way of detecting partial discharge under aviation-specific conditions. The relevance of the research also forms a good basis for formulating and contributing to the creation of new international standards.
Main scientific papers:
- Non-Intrusive Partial Discharges Investigations on Aeronautic Motors. T. Billard, C. Abadie, B. Taghia, SAE Technical Paper 2016-01-2058, 2016, doi:10.4271/2016-01-2058.
- Influence of pressure on partial discharge spectra. C Abadie, T Billard, T Lebey. IEEE Electrical Insulation Conference (EIC), Montréal (Canada), June 2016.
- Numerical signal processing methods for partial discharge detection in more electrical aircraft. C Abadie, T Billard, T Lebey. Dielectrics (ICD), 2016 IEEE International Conference on Dielectrics. Jul. 2016.