A review of Integrated Vehicle Health Management tools for legacy platforms: Challenges and opportunities

Esperon-Miguez, Manuel; John, Philip; Jennions, Ian K.

doi:10.1016/j.paerosci.2012.04.003

Cited by 56 publications

(22 citation statements)

References 53 publications

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“…The data-driven approach analyzes and explores the sensor data focusing on interrelationships among parameters in a data set and aims at transforming the raw monitoring sensor data into relevant behavior models. However, the disadvantages of this approach are that it is unable to distinguish between the different failure modes or mechanisms in the system and it overly relies on the training data [16]. Each of the above mentioned approaches has advantages and limitations, so the selection of a suitable prognostics method determines the effectiveness of an aircraft engine's PHM system.…”

Section: Introductionmentioning

confidence: 99%

PHM-Oriented Integrated Fusion Prognostics for Aircraft Engines Based on Sensor Data

Wang

2014

IEEE Sensors J.

139

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As the heart of an aircraft, the aircraft engine's condition directly affects the safety, reliability, and operation of the aircraft. Prognostics and health management for aircraft engines can provide advance warning of failure and estimate the remaining useful life. However, aircraft engine systems are complex with both intangible and uncertain factors, it is difficult to model the complex degradation process, and no single prognostic approach can effectively solve this critical and complicated problem. Thus, fusion prognostics is conducted to obtain more accurate prognostics results. In this paper, a prognostics and health management-oriented integrated fusion prognostic framework is developed to improve the system state forecasting accuracy. This framework strategically fuses the monitoring sensor data and integrates the strengths of the data-driven prognostics approach and the experience-based approach while reducing their respective limitations. As an application example, this developed fusion prognostics framework is employed to predict the remaining useful life of an aircraft gas turbine engine based on sensor data. The results demonstrate that the proposed fusion prognostics framework is an effective prognostics tool, which can provide a more accurate and robust remaining useful life estimation than any single prognostics method.Index Terms-Fusion prognostics, sensor data, prognostics and health management, remaining useful life, aircraft engines.

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Section: Introductionmentioning

confidence: 99%

PHM-Oriented Integrated Fusion Prognostics for Aircraft Engines Based on Sensor Data

Wang

2014

IEEE Sensors J.

139

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“…Monitoring of machines to check their state of degradation due to use or health parameters (e.g., temperature and vibration) is done either using an additional network of sensors [39] or by analysing signals which are available in machines (e.g., position, speed and drive current consumption) [182]. Diagnostic and prognostic tools are classified into two major categories based on how the monitoring data is analysed and the conclusions reached: data-driven and model-based.…”

Section: Monitoring Diagnostics and Prognosticsmentioning

confidence: 99%

Continuous maintenance and the future – Foundations and technological challenges

et al. 2016

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“…In B2B markets, quantitative data on visibility of use are achieved in the industrial IoT as a part of engineering contracts via health and usage monitoring systems (HUMS) (McNaught and Zagorecki, 2011, p. 276;Esperon-Migueza et al, 2013). Such systems use sensors to monitor the operation of equipment, such as cycle times, flow rates, consumption, wear rates and operating environmental conditions such as temperature, humidity, etc.…”

Section: Visibilitymentioning

confidence: 99%

Operationalising IoT for reverse supply: the development of use-visibility measures

et al. 2016

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If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. Abstract Purpose -Improvement of reverse supply chains requires accurate and timely information about the patterns of consumption. In the consumer context, the ways to generate and access such use-visibility data are in their infancy. The purpose of this study is to demonstrate how the Internet of Things (IoT) may be operationalised in the domestic setting to capture data on a consumer's use of products and the implications for reverse supply chains. Design/methodology/approach -This study uses an explorative case approach drawing on data from studies of six UK households. "Horizontal" data, which reveals patterns in consumers' use processes, is generated by combining "vertical" data from multiple sources. Use processes in the homes are mapped using IDEF0 and illustrated with the data. The quantitative data are generated using wireless sensors in the home, and qualitative data are drawn from online calendars, social media, interviews and ethnography. Findings -The study proposes four generic measurement categories for operationalising the concept of use-visibility: experience, consumption, interaction and depletion, which together address the use of different household resources. The explorative case demonstrates how these measures can be operationalised to achieve visibility of the context of use in the home. The potential of such use-visibility for reverse supply chains is discussed.Research limitations/implications -This explorative case study is based on an in-depth study of the bathroom which illustrates the application of use-visibility measures (UVMs) but provides a limited use context. Further research is needed from a wider set of homes and a wider set of use processes and contexts. Practical implications -The case demonstrates the operationalisation of the combination of data from different sources and helps answer questions of "why?", "how?", "when?" and "how much?", which can inform reverse supply chains. The four UVMs can be operationalised in a way that can contribute to supply chain visibility, providing accurate and timely information of consumption, optimising resource use and eliminating waste. Originality/value -IDEF0 framework and case analysis is used to identify ...

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A review of Integrated Vehicle Health Management tools for legacy platforms: Challenges and opportunities

Cited by 56 publications

References 53 publications

PHM-Oriented Integrated Fusion Prognostics for Aircraft Engines Based on Sensor Data

PHM-Oriented Integrated Fusion Prognostics for Aircraft Engines Based on Sensor Data

Continuous maintenance and the future – Foundations and technological challenges

Operationalising IoT for reverse supply: the development of use-visibility measures

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