Deterioration estimation for remaining useful lifetime prognosis in a friction drive system

Rodrı́guez, Diego J.; Martínez, John J.; Bérenguer, Christophe

doi:10.1016/j.ifacol.2017.08.1834

Cited by 4 publications

(3 citation statements)

References 6 publications

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“…By considering again the deterioration dynamics (14), the RUL control problem can be stated as follows:…”

Section: Problem Statementmentioning

confidence: 99%

“…The deterioration is modeled here as a function of the energy losses (at the contact level) during the system operation and this explicit physics-based modeling of the deterioration permits the estimation of the deterioration using the measurements of physical variables. One of the difficulty within a PHM context comes from the fact that such a deterioration cannot be measured directly and has to be estimated on-line using external measurements only, [14,15]. To this aim, we propose a generic approach (i.e.…”

Section: Introductionmentioning

confidence: 99%

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Deterioration estimation for predicting and controlling RUL of a friction drive system

2021

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“…By considering again the deterioration dynamics (14), the RUL control problem can be stated as follows:…”

Section: Problem Statementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Deterioration estimation for predicting and controlling RUL of a friction drive system

2021

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“…The identification technology should also be numerically derived so that it can be built as the prototype of CNC system quickly from standard library functions. Recent study shows that method for estimating health and remaining useful life of mechatronic system is the key element for diagnosis and maintenance [17][18][19]. The method can be easily integrated to the HILS.…”

Section: Introductionmentioning

confidence: 99%

Rapid prototyping and numerical identification of feed drive system using hardware-in-loop realization

Chen

2020

Eng. Res. Express

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Nowadays, the virtual manufacturing is proved to be the promising technology to design a completely digital feed drive system. Especially, the initial parameters tuning, tests, error prediction and diagnostics at the actual location of the feed drive system are at a risk of stressing and even damaging the machine tool. This paper presents an analytical identification method of feed drive system based on HILS (Hardware-In-Loop System), allowing a real CNC to be prototyped quickly from standard library functions for feed drive control laws. The main purpose of drive identification outside the CNC is that it may not be performed when the drive is installed in the CNC and user has no access to the internal control structure. So, it is proposed to identify it outside CNC in the proposed HILS on the basis of a comparison of the real object and its nominal dynamic model. The rapid prototyping model can be easily executed for initial parameters tuning, testing and the risk of stressing and damaging the machine tool during the diagnosis can be avoided effectively as well. The methodology is quite general and applicable to linear or ball screw drives, controlled with commonly used controllers. Furthermore, additional CNC modules can easily be prototyped and integrated to this prototype for other research purposes. Experiments were carried out to compare HILS prototyping to the actual CNC systems. The result demonstrates that the real-time feed drive system can be accurately represented by the identified prototype model.

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Condition monitoring of a friction drive system

Rodrı́guez

Martínez

Bérenguer

2017

2017 IEEE 3rd Colombian Conference on Automatic Control (CCAC)

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This paper presents an approach for condition monitoring of a friction drive system, based on a recently developed deterioration estimation approach which includes the mechanical device dynamics and the dynamics of the deterioration at the joint. In this work a fault detection and a fault estimation application are proposed. Here, a fault is considered as an abnormal condition of the joint, mainly linked to the quality of the materials. For these purposes, we assume the knowledge of the input current signal and angular-speed sensor information. An architecture for condition monitoring is illustrated with abrupt fault and incipient fault simulated scenarios.

show abstract

Deterioration estimation for remaining useful lifetime prognosis in a friction drive system

Cited by 4 publications

References 6 publications

Deterioration estimation for predicting and controlling RUL of a friction drive system

Deterioration estimation for predicting and controlling RUL of a friction drive system

Rapid prototyping and numerical identification of feed drive system using hardware-in-loop realization

Condition monitoring of a friction drive system

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