Physically-driven design of health indicators for diagnosis and prognosis

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Physically-driven design of health indicators for diagnosis and prognosis

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Job description

Offer DescriptionThe PhD project is about the design of novel Health Indicators (HIs), considering explicitly the physics of degradation. HIs are fundamental quantities at the basis of current diagnosis and prognosis methodologies of machines (e.g. windturbines, turbomachines, etc.). Despite remarkable progresses in health monitoring boosted by new technologies (IoT, new sensors) and AI, most approaches still rely on the use of rudimentary HIs defined more than half a century ago, when the main motivation was to provide metrics that could be easily calculated with the low computational resources of that time. Many popular HIs have traded simplicity against physical relevance and, as a consequence, it turns out difficult to tailor them to monitor specific degradation processes. Rather paradoxically, HIs with limited informational content are used as the inputs of extremely sophisticated machine learning algorithms (such as regressors and classifiers), yet constituting the weakest link of the chain. The project will address the construction of a mathematical mapping from physical multidimensional quantities such as surface topology and local mechanical properties to a scalar metric that can be calculated from the measurement of the dynamic behavior of the structure. Models of tribology will be used to correlate the dynamic response of a structure to local properties of damaged surfaces of contact (gears, rolling element bearings). Fracture dynamics and fatigue models will be considered to construct metrics of damage. The methodologies will be tested, evaluated and validated experimentally using a testbench for fatigue analysis of rolling element bearings and tribometers.Research Fields: Applied science, mechanics, signal processing, machine learning.RequirementsResearch Field Mathematics » Statistics Education Level Master Degree or equivalentSkills/Qualifications

• Education Level: Master Degree or equivalent
• Languages: FRENCH or ENGLISH
• Level: Excellent

Specific RequirementsEligibility criteria: * MSCA Early-stage Researcher rule: Applicants must have not yet been awarded a doctoral degree. Researchers who have successfully defended their doctoral thesis but who have not yet formally been awarded the doctoral degree will NOT be considered eligible to apply.

• MSCA Mobility rule: Applicants may not have resided or carried out their main activity (work, studies, etc.) in France for more than 12 months in the 3 years immediately before the call deadline (i.e., since 11 April 2020). Time spent as part of a procedure for obtaining refugee status under the Geneva Convention (1951 Refugee Convention and the 1967 Protocol), compulsory national service and/or short stays such as holidays are not taken into account.
• MSCA Employment rule: Applicants may not be already permanently employed by the chosen Research Host at the time of call deadline.
• Minimum level of studies: Applicants must meet the academic criteria for admission to the doctoral programs at both the French and the Australian enrolling universities.
• English proficiency*: Applicants must have a demonstrable C1 level of English (both speaking and in writing).

Languages ENGLISH Level ExcellentResearch Field Mathematics » Applied mathematicsEngineering » Mechanical engineering Years of Research Experience NoneInternal Application form(s) neededPhysically-driven design of health indicators for diagnosis and prognosis.pdfEnglish(152.88 KB – PDF)Additional InformationWork Location(s)Number of offers available 1 Company/Institute Institut National des Sciences Appliquées Country France City Lyon Postal Code 69621 GeofieldWhere to apply E-mailjerome.antoni@insa-lyon.frContact State/ProvinceAuvergne-Rhône-Alpes CityVILLEURBANNE WebsiteStreet20 avenue Albert Einstein Postal Code69100 E-Mailjerome.antoni@insa-lyon.fr Phone+33(0)635761759STATUS: EXPIRED

Expected salary

Location

Lyon

Job date

Sun, 25 Feb 2024 02:47:06 GMT

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