The modernization of industrial systems is argued within the "Factory of the Future (FoF)" strategic plan as a necessary lever to improve competitiveness and maintain industrial employment in France. It raises major challenges of innovation that the PHM (Prognostics and Health Management) defended as a new scientific discipline initiated by NASA, is a major focus.
PHM is structured on key processes such as monitoring / predictive diagnosis, prognostics and aided decision-making. These processes aim at characterizing the drifts and degradations of a system and prevent/anticipate its failures. While standards are created to formalize these processes, the PHM is not actually deployed in companies. In that way, ad hoc software solutions available are too limited, proprietary and not designed from a scientific framework enough consistent to ensure genericity. This scientific challenge is addressed with the research strategy of CRAN Laboratory (UMR CNRS 7039, University of Lorraine).
The CRAN is recognized nationally and internationally as a major actor of PHM. It is initiator for founding many works on the diagnosis, prognosis, and predictive maintenance but also on their engineering in a system vision. These works are validated at laboratory level but not enough at the company one due to missing of suitable tools supporting the works transfer to an industrial scale.
The PREDICT SME is a pioneer in the market of PHM tools in France because it is selling an offer built on CASIP / KASEM and CASIP Engineering platforms with the associated services required to configure these platforms. Nevertheless these solutions are mainly implemented within complex - unitary industrial systems whereas growth markets are moving towards application areas in which the systems have smaller size and complexity (e.g. machine tool, tractors, and construction equipment).
It implies for the economic sustainability of PREDICT and the increasing of its overall leadership in PHM solutions, to adapt its offer with a reduction, in the total cost, by a factor of 10 to 100. This rationalization based on a modularization of PHM technologies is the key to open both the SME market / ETIs and the export market within a volume of sales adapted to these new markets.
PREDICT must therefore innovate in three complementary scientific areas: models and algorithms to support
PHM processes; the engineering to deploy these processes in the case of a specific system, and finally, the technologies to support the deployment. These technologies could be, in a short term, cyber-physical technologies built on a software part (PHM algorithms) that interacts with a hardware part such as Single-Board Computer, Plug computer or SmartPhone.
This report on PHM about technology and scientific needs, added with the complementary skills between CRAN and PREDICT, are the genesis of this LabCOM proposal called PHM-FACTORY (or manufacture of cyber physical PHM technologies). It can be seen as an innovation and research platform for which the roadmap is based on 3 phases: consolidation (e.g. short-term transfer), expansion (e.g. new functionalities) and exploration (e.g. prospecting for new services). The roadmap will address issues such as knowledge operationalization, hybrid approaches, self-adaptive algorithms ... Expected on the 3 axes (models / engineering / technology), innovations will be realized by "software components (COTS)" and a specialist engineering enabling the development of innovative PHM solutions.
The results will also benefit to the industrial and academic communities in strengthening the foundations of the PHM discipline and its effectiveness in business and operational context. Finally this LabCOM is a real opportunity to increase and sustain the already successful collaboration established between PREDICT and CRAN (from several years ago in terms of projects, co-authored publications …) in a stable institutional framework conducting to the emergence of R&D.
Monsieur Benoit IUNG (Centre de Recherche en Automatique de Nancy)
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
CRAN Centre de Recherche en Automatique de Nancy
Help of the ANR 300,000 euros
Beginning and duration of the scientific project: September 2015 - 36 Months