Fault Diagnosis of Practical Polymer Electrolyte Membrane (PEM) Fuel Cell System with Data‐driven Approaches

Mao, Lei; Jackson, Lisa M.; Dunnett, Sarah J.

doi:10.1002/fuce.201600139

Cited by 39 publications

(22 citation statements)

References 36 publications

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“…Wavelet packet transform is then applied to extract the wavelet coefficients and generate features, and singular value decomposition (SVD) is utilized to determine the features containing the most useful information for the state classification. More details about these approaches can be found in previous studies [13,31]. Figure 10 depicts the flowchart of data-driven approaches used herein.…”

Section: Pem Fuel Cell Fault Diagnosismentioning

confidence: 99%

Application of the Sensor Selection Approach in Polymer Electrolyte Membrane Fuel Cell Prognostics and Health Management

2017

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Abstract:In this paper, the sensor selection approach is investigated with the aim of using fewer sensors to provide reliable fuel cell diagnostic and prognostic results. The sensitivity of sensors is firstly calculated with a developed fuel cell model. With sensor sensitivities to different fuel cell failure modes, the available sensors can be ranked. A sensor selection algorithm is used in the analysis, which considers both sensor sensitivity to fuel cell performance and resistance to noise. The performance of the selected sensors in polymer electrolyte membrane (PEM) fuel cell prognostics is also evaluated with an adaptive neuro-fuzzy inference system (ANFIS), and results show that the fuel cell voltage can be predicted with good quality using the selected sensors. Furthermore, a fuel cell test is performed to investigate the effectiveness of selected sensors in fuel cell fault diagnosis. From the results, different fuel cell states can be distinguished with good quality using the selected sensors.

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Section: Pem Fuel Cell Fault Diagnosismentioning

confidence: 99%

Application of the Sensor Selection Approach in Polymer Electrolyte Membrane Fuel Cell Prognostics and Health Management

2017

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“…[6], [7], [8]) can detect the faults, but they may not further isolate the faults unless enough test data obtained from various faults is available, while model-based methods (e.g. [9], [10], [11], [12]) require the development of the accurate model incorporating different fault effects with mathematical equations, which is usually extremely complex and time-consuming.…”

Section: Introductionmentioning

confidence: 99%

The Role of Semantic Technologies in Diagnostic and Decision Support for Service Systems

Tsalapati¹,

Jackson²,

Johnson³

et al. 2018

Proceedings of the 51st Hawaii International Conference on System Sciences

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In this research, we utilize semantic technology for robust early diagnosis and decision support. We present a lightweight platform that provides the enduser with direct access to the data through an ontology, and enables detection of any forthcoming faults by considering the data only from the reliable sensors. Concurrently, it indicates the actual sources of the detected faults, enabling mitigation action to be taken. Our work is focused on systems that require only real-time data and a restricted part of the historic data, such as fuel cell stack systems. First, we present an upper-level ontology that captures the semantics of such monitored systems and then we present the structure of the platform. Next, we specialize on the fuel cell paradigm and we provide a detailed description of our platform's functionality that can aid future servicing problem reporting applications.

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“…It is an electrochemical system which converts chemical energy into electricity through the oxidation of a fuel [26,27], which takes place in the anode of the cell, and the reduction of the oxygen from atmosphere in the cathode. Some of these fuel cells are classified by temperature operation [28], especially, Proton Exchange Membrane Fuel Cells (PEMFCs) work at low temperatures (from room to 100 C) [29] with a Nafion ® membrane electrolyte. Low temperatures requires a very active catalyst in the electrodes, usually being platinum (Pt) [30].…”

Section: State-of-the-artmentioning

confidence: 99%

New Materials to Solve Energy Issues through Photochemical and Photophysical Processes: The Kinetics Involved

Martins¹,

Ribeiro²,

Souza³

et al. 2018

Advanced Chemical Kinetics

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Kinetic rates of energy production are extremely controlled by the competing processes that occur in systems capable of energy transfer. Besides organic and inorganic compounds already known as electronically actives, supramolecular systems can be thought to form energy transfer complexes to efficiently convert, for instance, light into electricity and the mechanisms for that can be of any kind. Photophysical and photochemical processes can simultaneously occur in such systems to provide energy conversion, by competing mechanisms or collaborative ones. Thus, to investigate the kinetic rates of each process and to understand the dynamics of the electronic excited states population and depopulation in strategically structured materials, can offer important tools to efficiently make use of this not always so evident power of supramolecular materials. In this chapter, we present the state-of-the-art of the use of photophysical processes and photochemical changes, presented by new materials and devices to provide a control of energy transfer processes and enable distinct applications, since energy conversion to sensing and imaging techniques to material characterization.

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Fault Diagnosis of Practical Polymer Electrolyte Membrane (PEM) Fuel Cell System with Data‐driven Approaches

Cited by 39 publications

References 36 publications

Application of the Sensor Selection Approach in Polymer Electrolyte Membrane Fuel Cell Prognostics and Health Management

Application of the Sensor Selection Approach in Polymer Electrolyte Membrane Fuel Cell Prognostics and Health Management

The Role of Semantic Technologies in Diagnostic and Decision Support for Service Systems

New Materials to Solve Energy Issues through Photochemical and Photophysical Processes: The Kinetics Involved

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