Degradation Process Analysis and Remaining Useful Life Estimation in a Control System

Mabrouk, Nabila; Moulahi, Med Hedi; Hmida, Fayçal Ben

doi:10.1007/978-3-030-21009-0_5

Cited by 3 publications

(5 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…19 For certain type of the input control action u(t) and if we consider its successive variations, Du(t) can be assumed as a source of stress, which can accelerate the actuator degradation. Current research 10,20,21 on diagnosis is focused on the loss of winding insulation of an electrical motor due to a varying command voltage. When the degradation path hits a threshold level a short circuit occurs leading the component to break.…”

Section: Control System and Degradation Processmentioning

confidence: 99%

“…. mg; note that this technique is presented and widely developed in van Noortwijk 9 and Mabrouk et al 21 Then the pdf of the increments can be written as…”

Section: Gamma Process For Degradation Modelingmentioning

confidence: 99%

“…Recently, several authors 10,20,21 have demonstrated that the failure actuator in feedback control system occupies a high position in efficient safety and reliability. To assess the reliability over time, it is recommended to predict the future evolution of the capacity of the actuator.…”

Section: Reliability Analysis Based On Rul Estimationmentioning

confidence: 99%

See 2 more Smart Citations

Using extended Kalman filter for failure detection and prognostic of degradation process in feedback control system

Moulahi

Hmida

2021

Proceedings of the Institution of Mechanical Engineers, Part I:

Self Cite

View full text Add to dashboard Cite

In this article, we study a new approach to predict failures in feedback control system and particularly in actuators. However, we use two-tank control system with a proportional–integral–derivative controller for controlling a process variable. In practice, the actuator is a dynamic operating component in a random environment. Moreover, its capacity decreases over time and becomes valuable information for reliability analysis. The loss of capacity which is related to degradation, either normally or in an accelerated manner, depends on different operational conditions of the feedback control system and environmental factors. For this reason, to improve its working condition, a service life time analysis is necessary. Obviously, one has to predict the trend of future system characteristics, such as the reliability, which is measured by the estimate value of remaining useful life. In this situation, we use the stochastic gamma process model to describe the degradation behavior of the actuator. Generally, the algorithm of extended Kalman filter is a widely used method to overcome the difficulties of estimating the state vector in a nonlinear model of two-tank control system. This algorithm gives an innovation vector or prediction residual which contains fault information, when the system is failed. The prediction residuals can be recursively computed for diagnosis by the generalized likelihood ratio test. However, we use the generalized likelihood ratio test algorithm to estimate the moment at which the prognostic started. Finally, a practical case study is given to show the effectiveness of the proposed approaches for failure detection. Obviously, the simulation results show that the degradation path of the actuator capacity is estimated and the reliability based on remaining useful life predicted is analyzed.

show abstract

Section: Control System and Degradation Processmentioning

confidence: 99%

“…. mg; note that this technique is presented and widely developed in van Noortwijk 9 and Mabrouk et al 21 Then the pdf of the increments can be written as…”

Section: Gamma Process For Degradation Modelingmentioning

confidence: 99%

See 1 more Smart Citation

Using extended Kalman filter for failure detection and prognostic of degradation process in feedback control system

Moulahi

Hmida

2021

Proceedings of the Institution of Mechanical Engineers, Part I:

Self Cite

View full text Add to dashboard Cite

show abstract

“…While automation software can have faults or performance issue, the software code itself is unlikely to change whereas mechanical and electrical systems can suffer from age and use related deterioration. 11,12 Indeed, with an evolving plant response it may be necessary to optimize controller parameters. For such specialist work it is possible for this to be done remotely by connecting to the engineering programming computers.…”

Section: Project Completion and Beyondmentioning

confidence: 99%

Control systems: People, engineering, and business

Hearns

2020

Adv Control Appl

View full text Add to dashboard Cite

It is natural for control engineers to focus on engineering however this is never an isolated activity. The engineering must proceed while considering business objectives and will involve people from different disciplines and technical experience. The viewpoints and objectives of the people supplying automation and those using it may differ, providing additional engineering challenges. This paper discusses a typical process industry automation project over the complete lifecycle and from the perspectives of both the supplier and buyer. The phases: tendering, design, testing, commissioning, and completion are described with an emphasis on the control challenges facing engineers. The roles that process models play in making good engineering and business decisions in all phases of the project are highlighted. The technical and business challenges before control design commences are shown. The paper encourages control engineers to consider design objectives that look beyond performance and include efficient commissioning, ability to reconfigure, and long‐term maintenance by non‐experts. People from other areas are also encouraged to consider the benefits and challenges that control systems bring. By considering the viewpoints of the customer with their production and commercial pressures at an early stage, the design and implementation should be more successful for all parties in the project.

show abstract

“…This needs the component to adapt to varying industrial demands. The actuator is one of the main component which undergoes degradation due to its sudden inability to provide control action to the plant (Mabrouk, Moulahi and Ben Hmida, 2020). This causes the entire control system to get collapsed.…”

Section: Introductionmentioning

confidence: 99%

Extended Kalman filter-based prognostic of actuator degradation in two tank system

Jayaprasanth

Melissa

2023

The Scientific Temper

View full text Add to dashboard Cite

Rapid growth in the industries need an effective predictive maintenance policy. Failure in the equipment decreases the production rate and thereby, causing a loss to the industry. The equipment especially, the actuator is operated continuously in the industries in order to achieve the desired production rate. Actuator is the key element which undergoes degradation due to frequent control actions. However, degradation is mainly influenced by different operating conditions and other environmental factors. This decreases the lifetime of the equipment and also it increases the maintenance cost. This problem is addressed by carrying out the reliability studies on the actuator by using Gamma process. It is used to describe the system degradation. In this work, Gamma process based actuator modelling is used to study the deterioration in the actuator. The gamma parameters such as shape and scale parameters are the deciding factors describing the level of degradation in the system. It is then applied to two tank feedback control system. Extended version of Kalman filter estimates the state of noisy measurements which describes the fault trend characteristics in the system. Finally, the evolution of actuator capacity in presence of fault is analyzed and simulated in MATLAB environment.

show abstract

Degradation Process Analysis and Remaining Useful Life Estimation in a Control System

Cited by 3 publications

References 4 publications

Using extended Kalman filter for failure detection and prognostic of degradation process in feedback control system

Using extended Kalman filter for failure detection and prognostic of degradation process in feedback control system

Control systems: People, engineering, and business

Extended Kalman filter-based prognostic of actuator degradation in two tank system

Contact Info

Product

Resources

About