A review of diagnostics and prognostics of low-speed machinery towards wind turbine farm-level health management

Kandukuri, Surya Teja; Klausen, Andreas; Karimi, Hamid Reza; Robbersmyr, Kjell G.

doi:10.1016/j.rser.2015.08.061

Cited by 171 publications

(84 citation statements)

References 107 publications

(109 reference statements)

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“…This in return entails the roll-out of various asset integrity monitoring and inspection systems. For example, factories are increasingly resorting to the installation of accelerometers on rotating parts [22]. Although the transmission of readings back to the control room is quite delay-tolerant, the throughput requirement is not trivial.…”

Section: A Bandwidth Demand and Delay Intolerancementioning

confidence: 99%

Front-end intelligence for large-scale application-oriented internet-of-things

et al. 2016

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The Internet-of-things (IoT) refers to the massive integration of electronic devices, vehicles, buildings, and other objects to collect and exchange data. It is the enabling technology for a plethora of applications touching various aspects of our lives such as healthcare, wearables, surveillance, home automation, smart manufacturing, and intelligent automotive systems. Existing IoT architectures are highly centralized and heavily rely on a back-end core network for all decision-making processes. This may lead to inefficiencies in terms of latency, network traffic management, computational processing, and power consumption. In this paper, we advocate the empowerment of front-end IoT devices to support the back-end network in fulfilling end-user applications requirements mainly by means of improved connectivity and efficient network management. A novel conceptual framework is presented for a new generation of IoT devices that will enable multiple new features for both the IoT administrators as well as end users. Exploiting the recent emergence of software-defined architecture, these smart IoT devices will allow fast, reliable, and intelligent management of diverse IoT-based applications. After highlighting relevant shortcomings of the existing IoT architectures, we outline some key design perspectives to enable front-end intelligence while shedding light on promising future research directions.

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Section: A Bandwidth Demand and Delay Intolerancementioning

confidence: 99%

Front-end intelligence for large-scale application-oriented internet-of-things

et al. 2016

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“…-noise emission of equipment (Rahman and Abdullah, 1991) -faults on induction motors (IMs) (Thorsen and Dalva, 1995) and (Mendel et al, 2009) -wireless technology (Petersen et al, 2008) -needs for technological development (Springett et al, 2010) -increase of value robustness (Allaverdi et al, 2013) -actuation types of intelligent completion systems (Potiani and Motta, 2014) -heave compensation systems (Woodacre et al, 2015) -electric ship propulsion (Hansen and Wendt, 2015) -diagnostics and prognostics of offshore wind turbines (Kandukuri et al, 2016) not much work is reported on benchmarking electric and hydraulic drives in a broader perspective, specifically for offshore drilling applications. The current paper fills this gap.…”

Section: Contributionsmentioning

confidence: 99%

Hydraulic vs. Electric: A Review of Actuation Systems in Offshore Drilling Equipment

Pawlus¹,

Choux²,

Hansen³

2016

MIC

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This article presents a survey on actuation systems encountered in offshore drilling applications. Specifically, it focuses on giving a comparison of hydraulic and electric drivetrains along with detailed explanations of their advantages and drawbacks. A significant number of industrial case studies is examined in addition to the collection of academic publications, in order to accurately describe the current market situation. Some key directions of research and development required to satisfy increasing demands on powertrains operating offshore are identified. The impact of the literature and application surveys is further strengthened by benchmarking two designs of a full-scale pipe handling machine. Apart from other benefits, the electrically actuated machine reduces the total power consumption by 70 % compared to its hydraulically driven counterpart. It is concluded that electric actuation systems, among other advantages, in general offer higher efficiency and flexibility, however, in some specific applications (such as energy accumulation or translational motion control) hydraulic powertrains are favorable.

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“…In order to allow for this substantial growth, a reduction in operation and maintenance costs of wind turbines is needed to increase the reliability of turbines during their designed lifetime. For this reason, the adoption of advanced prognostics and health management strategies is crucial to ensure the turbine reliability and the profitable operation of wind farms [4]. Among all components, wind turbine gearboxes (WTGs) represent a critical problem in terms of durability and reliability [5].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Fatigue Crack Propagation of Gears Considering Uncertainties in Loading and Material Properties

et al. 2017

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Failure prediction of wind turbine gearboxes (WTGs) is especially important since the maintenance of these components is not only costly but also causes the longest downtime. One of the most common causes of the premature fault of WTGs is attributed to the fatigue fracture of gear teeth due to fluctuating and cyclic torque, resulting from stochastic wind loading, transmitted to the gearbox. Moreover, the fluctuation of the torque, as well as the inherent uncertainties of the material properties, results in uncertain life prediction for WTGs. It is therefore essential to quantify these uncertainties in the life estimation of gears. In this paper, a framework, constituted by a dynamic model of a one-stage gearbox, a finite element method, and a degradation model for the estimation of fatigue crack propagation in gear, is presented. Torque time history data of a wind turbine rotor was scaled and used to simulate the stochastic characteristic of the loading and uncertainties in the material constants of the degradation model were also quantified. It was demonstrated that uncertainty quantification of load and material constants provides a reasonable estimation of the distribution of the crack length in the gear tooth at any time step.

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A review of diagnostics and prognostics of low-speed machinery towards wind turbine farm-level health management

Cited by 171 publications

References 107 publications

Front-end intelligence for large-scale application-oriented internet-of-things

Front-end intelligence for large-scale application-oriented internet-of-things

Hydraulic vs. Electric: A Review of Actuation Systems in Offshore Drilling Equipment

Evaluation of Fatigue Crack Propagation of Gears Considering Uncertainties in Loading and Material Properties

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