A post-prognostics decision framework for cell site using Cloud computing and Internet of Things

Meraghni, Safa; Terrissa, Labib Sadek; Zerhouni, Noureddine; Varnier, Christophe; Ayad, Soheyb

doi:10.1109/cloudtech.2016.7847715

Cited by 14 publications

(8 citation statements)

References 21 publications

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“…Particularly for PHM (Pump Health Monitoring) solutions, [12] indicated critical points to be considered like, data processing and storage capability [13], asset overview, domain knowledge, and robustness for estimating the 'Remaining Useful Life (RUL)' [14]. This work also proposes computational architectures for the effective deployment of condition monitoring solutions.…”

Section: Literature Review and State Of Artmentioning

confidence: 99%

Predictive Maintenance for Axial Piston Pumps: A Novel Method for Real-Time Health Monitoring and Remaining Useful Life Estimation

Samanta,

Kulkarni,

Hande

2024

14th International Fluid Power Conference

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In this paper, a novel method to estimate and predict the condition of an open circuit piston pump is presented. We introduce the concept of the 'Pump health index' which can assess the health of the pump in real time and use it to estimate the remaining useful life of the pump. The solution is agnostic to pump size, make, and application duty cycle. The solution has been tested with different levels of degradation that were simulated on the physical pump. The algorithms were implemented on multiple embedded platforms to illustrate the agnostic nature of the developed technology.

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Section: Literature Review and State Of Artmentioning

confidence: 99%

Predictive Maintenance for Axial Piston Pumps: A Novel Method for Real-Time Health Monitoring and Remaining Useful Life Estimation

Samanta,

Kulkarni,

Hande

2024

14th International Fluid Power Conference

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“…The resulting schedule optimizes the spare parts inventory, resources management and remaining useful life of the machines. Meraghni et al (Meraghni, Terrissa, Zerhouni, Varnier, & Ayad, 2016) introduced a framework that provides a schedule of maintenance activities and assigns a maintenance team to each activity for a geographically distributed assets. The methods was tested on cellphone towers in which the PHM system used Internet-of-Things and cloud computing.…”

Section: Geographically Distributed Assetsmentioning

confidence: 99%

Review of Post-Prognostics Decision-Making in Prognostics and Health Management

Bougacha

Varnier

Zerhouni

2021

IJPHM

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Mainly, the prognostics and health management (PHM) process is based on three processes: the data acquisition and health assessment process in which sensors signals are acquired and processed, the diagnostic and prognostic process in which the source of failure is detected and the remaining useful life (RUL) is predicted and finally the decision- making process that refers to the term management in prognostics and health management. This paper reviews in the literature about the different aspects of decision-making in the context of PHM. The selected papers are subject to con- tent assessment and grouped according to the decision type. Additionally, this paper presents a synthesis of the previous works that helps identify new trends and deficiencies in the decision-making process. The synthesis can guide efforts for future work.

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“…Data aggregation is the strategy of wireless sensor networks [22], which is used in PHM for the communication of information between the equipment. Internet of Things is a network system that connects equipment with sensors, hardware network, and cloud servers [10,23]. Yang et al [24] proposed a cloud-based prognostics system which was able to provide a low-cost solution for big data collected from a factory.…”

Section: Literature Reviewmentioning

confidence: 99%

An Integrative Framework for Online Prognostic and Health Management Using Internet of Things and Convolutional Neural Network

Ming

Qiu

et al. 2019

Sensors

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With the development of the internet of things (IoTs), big data, smart sensing technology, and cloud technology, the industry has entered a new stage of revolution. Traditional manufacturing enterprises are transforming into service-oriented manufacturing based on prognostic and health management (PHM). However, there is a lack of a systematic and comprehensive framework of PHM to create more added value. In this paper, the authors proposed an integrative framework to systematically solve the problem from three levels: Strategic level of PHM to create added value, tactical level of PHM to make the implementation route, and operational level of PHM in a detailed application. At the strategic level, the authors provided the innovative business model to create added value through the big data. Moreover, to monitor the equipment status, the health index (HI) based on a condition-based maintenance (CBM) method was proposed. At the tactical level, the authors provided the implementation route in application integration, analysis service, and visual management to satisfy the different stakeholders’ functional requirements through a convolutional neural network (CNN). At the operational level, the authors constructed a self-sensing network based on anti-inference and self-organizing Zigbee to capture the real-time data from the equipment group. Finally, the authors verified the feasibility of the framework in a real case from China.

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A post-prognostics decision framework for cell site using Cloud computing and Internet of Things

Cited by 14 publications

References 21 publications

Predictive Maintenance for Axial Piston Pumps: A Novel Method for Real-Time Health Monitoring and Remaining Useful Life Estimation

Predictive Maintenance for Axial Piston Pumps: A Novel Method for Real-Time Health Monitoring and Remaining Useful Life Estimation

Review of Post-Prognostics Decision-Making in Prognostics and Health Management

An Integrative Framework for Online Prognostic and Health Management Using Internet of Things and Convolutional Neural Network

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