Benoît Iung

University of Lorraine | UdL · CRAN - Centre de Recherche en Automatique de Nancy

The objective of this paper is to study the effectiveness of an opportunistic condition-based maintenance strategy for the sea water pumps in a nuclear power plant. For the presented study a primary seawater system consisting of four sea water pumps, supplied by three water intake chambers, have been considered. There exists functional dependency a...

This article aims at solving a problem raised by the paradigms of Industry 4.0 and certain manufacturing companies with a consequent number of production lines. The main problem is about the deployment of predictive maintenance of production lines on the scale of a large size manufacturing company. Indeed, this kind of manufacturing plant is compos...

Nowadays, several industries are digitizing their factories in the objective of creating smart factory as advocated by industry 4.0 paradigm. Prognostics and Health Management (PHM) concept is one of the main pillars of this transformation. Indeed, it aims at increasing industrial system reliability, availability and improving the company's competi...

Currently, in manufacturing, massive useful data about health condition and maintenance is often available thanks to Industry 4.0 technologies. However, how to take advantage of historical data to optimize maintenance policies for multi-component systems has still been a challenging problem. This is especially true when maintenance cost models at c...

It is well-known that maintenance decision optimization for multi-component systems faces the curse of dimensionality. Specifically, the number of decision variables needed to be optimized grows exponentially in the number of components causing computational expensive for optimization algorithms. To address this issue, we customize a multi-agent de...

Deep learning (DL) approaches have multiple potential advantages that have been explored in various fields, but for prognostic and health management (PHM) applications, this is not the case due to the lack of data in particular applications and also due of the absence of multiple DL-oriented benchmarks as in other fields, which limits the research...

Anticipating system failures using predictive strategies based on efficient prognostics has become an important topic in manufacturing where maintenance plays a crucial role. As such, promising prognostics approaches use data-driven machine learning techniques, though the initial data set for learning is often small as failure occurrences are rare....

Remaining Useful Life (RUL) of equipment is defined as the duration between the current time and its failure. An accurate and reliable prognostic of the remaining useful life provides decision-makers with valuable information to adopt an appropriate maintenance strategy to maximize equipment utilization and avoid costly breakdowns. In this work, we...

To guarantee a good level of facilities performance (reliability and availability), maintenance activities have to be planned and scheduled efficiently. Maintenance scheduling decides, in a tactical way, when theses maintenance activities will be carried out according to the appearance of opportunities. Numerous works on opportunistic maintenance h...

Failure Mode, Effects and Criticality Analysis (FMECA) is a well-known method used in safety analysis, reliability analysis, risk assessment and maintenance objectives. Moreover, in the manufacturing domain and particularly in the context of the deployment of the factory of the future, its usage is not entirely satisfactory in relation to the indic...

Huge maintenance costs in non-residential buildings weighted it down the overall costs allocated to HVAC (Heating, ventilation and air conditioning) system maintenance. Maintenance Management objective is to reduce or even avoid the corrective maintenance by proper planning and implementation of maintenance tasks at the right time. The aim of this...

In risk analysis, deterministic propagation of uncertainty as in fault trees models is not sufficient for sociotechnical systems. In recent years some approaches have been developed as Integrated Risk Analysis (IRA) to address different risks causalities linking human, organizational, technical and environmental factors in a unified framework. This...

In recent years, the concept of resilience has been introduced in risk analysis and some approaches have been proposed as an alternative (or a complement) to the conventional safety assessment for sociotechnical systems. In that way, Integrated Risk Analysis (IRA) has been developed at EDF to treat different risk causalities linking human, organiza...

Key performances of industrial systems can be characterised by performances both related to the system itself but also the product/service it is delivering. It can be particularised in the manufacturing domain, by the performances related to the part manufactured (e.g. dimensional deviation, surface roughness) and to the machining centre (e.g. prod...

Nowadays, industrial enterprises are facing up to new challenges to well optimize their performances, with regards not only to conventional performances (e.g. reliability or productivity) but also to emerging ones as those related to sustainability issues. Indeed, sustainability indicators have to be considered now in the decision-making process of...

The paper presents firstly an overview of various definitions/concepts of energy efficiency and their related applications in different contexts, especially in industrial sectors. Each definition/concept is analyzed and recommended for different decision-making levels. Then a multi-level approach is described in detail for evaluating energy efficie...

Manufacturing systems operate under high production, reliability and safety requirements due to the complicated technology involved and hazardous consequences for product/process in case of failures. In that way,Maintenance plays a key role to sustain the system within its nominal operation space. It consists in implementing strategies to control o...

Dans ce chapitre, nous nous intéressons à un formalisme de modélisation des risques et à l’intégration, dans le modèle résultant, de différentes formes d’incertitude. En ce sens, nous définissons premièrement le contexte et le besoin en analyse de risques et ceci plus spécifiquement dans le domaine de la production d’énergie électrique (approche AI...

Industrial plants are facing today with new challenges to well optimize performance of their operation and maintenance. For example, the sustainability paradigm is introducing new requirements to be taken into account in the decision-making process. In that way, energy consumption (EC) and energy efficiency (EE) are two critical performances impact...

The paper deals with a condition-based maintenance policy for a two-component system with dependencies. Two kinds of dependency are investigated. The first is state dependence whereby the deterioration speed of each component depends not only on its own state (deterioration level) but also on the state of the other. The second is economic dependenc...

High competitiveness and the emergence of new Information and Communication Technologies in industrial enterprises require a higher understanding and mastering of their operation systems to improve expected performances. In that sense, managers should take decisions about the strategies to be implemented as well as the resources to be used to achie...

Maintenance plays a key role by improving system availability, performance efficiency, and product quality. Condition based maintenance plus (CBM+) and Prognostics and Health Management (PHM) maintenance strategies propose new maintenance approaches in a “predict and prevent” view. In these anticipative approaches, early diagnosis plays a key role....

Maintenance can be considered today as the main enabling system to sustain a target physical item - a workplace, a work equipment or means of transport - in a state in which it can perform the required function. In that way, whatever the sector is, workers carrying out maintenance activities are exposed to various hazards (e.g. chemical, physical,...

Ecology and industry, which have been many times considered as antagonists, are now associated together in the sustainability concept to support the three social / economic / environment pillars. In that way, industrial enterprises and more precisely manufacturing ones seek to integrate environment into their strategy by conducting an innovative ra...

Telecommunication industry is predicted to have an important role in total energy consumption of industry area. Thus, the increasing energy cost in operational costs demands effective tools to identify energy efficiency indicators (EEIs) and predict the evolution of energy efficiency performance (EEP). The energy efficiency (EE) improvement of any...

This paper deals with a proactive condition-based maintenance (CBM) considering both perfect and imperfect maintenance actions for a deteriorating system. Perfect maintenance actions restore completely the system to the ‘as good as new’ state. Their related cost are however often high. The first objective of the paper is to investigate the impacts...

Manufacturing companies are continuously facing the challenge of operating their manufacturing processes and systems in order to deliver the required production rates of high quality products, while minimizing the use of resources. Production quality is proposed in this paper as a new paradigm aiming at going beyond traditional six-sigma approaches...

The paper presents firstly an overview of various definitions/concepts of energy efficiency and their related applications in different contexts, especially in industrial sectors. Each definition/concept is analyzed and recommended for different decision-making levels. Then a multi-level approach is described in detail for evaluating energy efficie...

Prognostics aims at estimating the remaining useful life in order to plan a maintenance action before unit performances are affected. However, such goal is hard to reach since many parameters affect system's behaviour. Many approaches have been proposed to performed prognostics each of them with strength and weakness. In the present paper we propos...

Purpose – The purpose of this paper is to develop a methodology for supporting complex maintenance programs quantification (CMPQ) for industrial systems. The methodology is based on a generic formalization of static and behavioral expert knowledge both on the target system and on the maintenance one. The formalization is carried out first by means...

For complex systems, efficient health monitoring should address not only component but also higher system abstraction levels since decision-making often relies on the global system state. In this paper, a health index is computed by fusing values within an indicator vector related to global system function. The fusion operator used is the Choquet i...

In order to anticipate failures and reduce downtime, "predictive diagnostic" aims not only at warning about the failure events before they occur but also at identifying the causes of degradation leading to such detections. Then, based on the results of predictive diagnostic, "prognostic" aims at estimating the remaining useful life in order to plan...

In order to anticipate failures and reduce downtime, “predictive diagnostic” aims not only at warning about the failure events before they occur but also at identifying the causes of degradation leading to such detections. Then, based on the results of predictive diagnostic, “prognostic” aims at estimating the remaining useful life in order to plan...

This paper deals with a proactive condition-based maintenance (CBM) considering both perfect and imperfect maintenance actions for deteriorating systems. Perfect maintenance actions restore completely the system to the 'as good as new' state. Their related cost are however often high. Imperfect preventive maintenance restores partially the system w...

The production system and its maintenance system must be now developed on "system thinking" paradigm in order to guarantee that Key Performance Indicators (KPI) will be optimized all along the production system (operation) life. In a recursive way, maintenance system engineering has to integrate also KPI considerations with regards to its own enabl...

Estimation of risks of different types is today one of the challenges of the Integrated Risks Analysis (IRA) methodology. Indeed, if technical or environmental risks estimation can generally be realised through a statistical way, human and organizational contributions are more generally realized through the use of expert judgments. With regard to t...

Prognostic of system lifetime is a basic requirement for condition-based maintenance in many application domains where safety, reliability, and availability are considered of first importance. This paper presents a probabilistic method for prognostic applied to the 2008 PHM Conference Challenge data. A stochastic process (Wiener process) combined w...

The production system and its maintenance system must be now developed on “system thinking” paradigm in order to guarantee that key performance indicators (KPI) expected will be optimized all along the production system operation life. In a recursive way, maintenance system engineering has to integrate also KPI considerations with regards to its ow...

Description de l'implémentation du système BMCI flotte

Description des essais du système BMCI flotte

Data fusion is a cornerstone step for monitoring component health state within a prognostics and health management (PHM) vision. It enables gathering disparate health information in order to build a global view for the situation evolving over time. Nevertheless for complex systems, efficient health monitoring should be addressed not only at compone...

This paper deals with a remaining useful life (RUL) based maintenance policy for single unit deteriorating systems whose condition are periodically monitored. Thank to the RUL information, which is estimated from the available monitoring information, various decisions related to inspections, logistic support, maintenance opportunities and maintenan...

In less than a decade, the European context on industrial risk management has evolved in order to propose frameworks to improve knowledge of both hazardous events and systemic analysis. Some frameworks are addressing more precisely socio-technical systems, considered as complex systems, operating under environmental constraints and for which multip...

This paper deals with a condition-based maintenance (CBM) model considering both perfect and imperfect maintenance actions for a deteriorating system whose condition is aperiod-ically monitored according to a remaining useful life (RUL) based-inspection policy. Perfect maintenance actions restore completely the system to the 'as good as new' state....

This paper deals with a condition-based maintenance (CBM) model considering both perfect and imperfect maintenance actions for a deteriorating system whose condition is aperiod- ically monitored according to a remaining useful life (RUL) based-inspection policy. Perfect maintenance actions restore completely the system to the ’as good as new’ state...

This paper proposes a cartography investigation on diagnostics and prognostics techniques accomplished in order to setup the health management for complex vehicle systems in accordance with IVHM (Integrated Vehicle Health Management) principles. Relevant reviews and surveys of the existing approaches are generally realized as statements of the achi...

Data fusion is a cornerstone step for monitoring equipment health state within a prognostics and health management (PHM) vision. It enables gathering complementary information from several data sources in order to build a global view for the situation evolving over time. Herein, an advanced information fusion method for health monitoring is propose...

Bayesian Networks (BN) are used in risks analysis because of the BN capacities allow supporting complex system modeling. Nevertheless, to achieve some modeling, on BN issue on is still the effort required for quantification even if some ways of solutions are addressing the use of logical structures like OR, AND, Noisy-OR, Leaky Noisy-OR, etc. These...

In its strategic risk analysis guidelines following the analysis of accident scenarios (such as Chernobyl, for instance), EDF identifies the need to look beyond technical aspects in risk analysis and consider organizational and human aspects. In this context, CRAN (the Research Center for Automatic Control of Nancy) and EDF2 have initiated research...

The chapter provides an analysis of the Prognostics and Health Management (PHM) data set. The PHM data set consists of data collected from 218 components of an unspecified system. In the framework of probabilistic prognosis methods, a stochastic process is used to model the deterioration phenomenon. The chapter also proposes a degradation indicator...

Panel - IEEE International Conference on Prognostics and Health Management, PHM 2012, Denver, Colorado : États-Unis (2012)

In Prognostics and Health Management (PHM) considerations, data fusion technique is a corner step as it enables gathering non homogeneous condition information to provide a synthesizing view on component situations. Nevertheless with regards to complex industrial systems, efficient health monitoring should be addressed not only at component level b...

Complex systems such as ships are composed of multiple heterogeneous subsystems and equipments interconnected to accomplish various missions. In civilian and defense naval domains, ships are usually operated as a fleet leading to mission readiness and maintenance management issues. PHM (Prognostics and Health Management) plays a key role for contro...

In this paper, a bibliographical review over the last decade is presented on the application of Bayesian networks to dependability, risk analysis and maintenance. It is shown an increasing trend of the literature related to these domains. This trend is due to the benefits that Bayesian networks provide in contrast with other classical methods of de...

In a sustainable development context, the stakes of the last stage of system life cycle, the end-of-life stage, have increased over recent years. End-of-life systems have to be de-manufactured in order to be valued so as to respond to environmental concerns. The aim of a disassembly strategy consists in issuing a solution to the whole decision prob...

Description et définition du système BMCI flotte pour la partie Stockage

In this paper, a bibliographical review over the last decade is presented on the application of Bayesian networks to dependability, risk analysis and maintenance. It is shown an increasing trend of the literature related to these domains. This trend is due to the benefits that Bayesian networks provide in contrast with other classical methods of de...

Today, system availability is a determining factor in system deployment because it must be guaranteed in the operational phase while taking a large part of assets whole life cycle cost (WLCC). Thus, controlling system availability is now a critical issue in systems engineering. This is even more true for military systems that operate in a battle co...

Large complex systems, such as power plants, ships and aircraft, are composed of multiple systems, subsystems and components. When they are considered as embedded in system operating as a fleet, it raises mission readiness and maintenance management issues. PHM (Prognostics and Health Management) plays a key role for controlling the performance lev...

Prognostic of system lifetime is a basic requirement for condition-based maintenance in many application domains where safety, reliability, and availability are considered of first importance. This paper presents a probabilistic method for prognostic applied to the 2008 PIIM Conference Challenge data. A stochastic process (Wiener process) combined...