Dempster-Shafer theory of evidence: A new approach to spatially model wildfire risk potential in central Chile

González, Cristian; Castillo, Miguel; García‐Chevesich, Pablo; Barrios, Juan Manuel

doi:10.1016/j.scitotenv.2017.09.105

Cited by 16 publications

(8 citation statements)

References 9 publications

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“…In [26,27], a fault diagnosis method of induction motor based on sparse noise reduction self-encoder was proposed, and it reduced the risk of network overfitting in small samples. e theory evidence is an uncertainty theory [28][29][30][31], the major characteristics of which are measuring and addressing various kinds of uncertain information and using the synthetic principle to obtain multi-information entropy. In this way, the theory evidence can process multi-information and conflicting information better and thus has been widely used in areas such as information fusion and uncertain reasoning.…”

Section: Introductionmentioning

confidence: 99%

Composite Fault Diagnosis for Rotating Machinery of Large Units Based on Evidence Theory and Multi‐Information Fusion

Xiao

Zhang

et al. 2019

Shock and Vibration

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Due to the complexity of the structure and process of large-scale petrochemical equipment, different fault characteristics are mixed and present multiple couplings and ambiguities, leading to the difficulty in identifying composite faults in rotating machinery. This paper proposes a composite faults diagnosis method for rotating machinery of the large unit based on evidence theory and multi-information fusion. The evidence theory and multi-information fusion method mainly deal with multisource information and conflict information, synthesize multiple uncertain information, and obtain synthetic information from multiple data sources. To detect faults in rotating machinery, the dimensionless index ranges of composite faults are first used to form a feature set as the reference. Then, a two-sample distribution test is applied to compare the known fault samples with the tested fault samples, and the maximum statistical distance is used. Finally, the multiple maximum statistical distances are fused by evidence theory and identifying fault types based on the fusion result. The proposed method was applied to the large petrochemical unit simulation experiment system, the results of which showed that our proposed method could accurately identify composite faults and provide maintenance guidance for composite fault diagnosis.

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Section: Introductionmentioning

confidence: 99%

Composite Fault Diagnosis for Rotating Machinery of Large Units Based on Evidence Theory and Multi‐Information Fusion

Xiao

Zhang

et al. 2019

Shock and Vibration

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“…Citation information: DOI 10.1109/JSTARS.2020.3043836, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 6 a practical approach to integrate spatial data with mathematical representation to deal with associated uncertainty in mapping and modeling approaches [55]. Within a set of mutually exclusive hypotheses, which is called the Frame of Discernment, more evidence can be considered [56]. The DS model is a converted form of events to the proposition and an event set to proposition set, which defines the concept of the function m known as basic probability assignments function, degree of belief of the element A from event set called as Bel (A), and the degree of plausibility (or verisimilitude) of the element A shown as Pl (A).…”

Section: F Application Of Dempster-shafer (Ds) Modelmentioning

confidence: 99%

Landslide Mapping Using Two Main Deep-Learning Convolution Neural Network Streams Combined by the Dempster–Shafer Model

Ghorbanzadeh

Meena

Shahabi

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…region, our study site does not only represent the centre of the biodiversity hotspot but also the area most strongly affected by the wildfire disaster in the fire season (CONAF 2017. Castillo et al (2017) and Gonzalez et al (2018) provide some first results on the ecological effects of the 2017 wildfires. Gómez- González et al (2017) have provided insights on the recovery of vegetation after the fire.…”

Section: Study Sitementioning

confidence: 99%

Consequences of land-use change and the wildfire disaster of 2017 for the central Chilean biodiversity hotspot

et al. 2021

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Central Chile is an important biodiversity hotspot in Latin America. Biodiversity hotspots are characterised by a high number of endemic species cooccurring with a high level of anthropogenic pressure. In central Chile, the pressure is caused by land-use change, in which near-natural primary and secondary forests are replaced and fragmented by commercial pine and eucalyptus plantations. Large forest fires are another factor that can potentially endanger biodiversity. Usually, environmental hazards, such as wildfires, are part of the regular environmental dynamic and not considered a threat to biodiversity. Nonetheless, this situation may change if land-use change and altered wildfire regimes coerce. Land-use change pressure may destroy landscape integrity in terms of habitat loss and fragmentation, while wildfires may destroy the last remnants of native forests. This study aims to understand the joint effects of land-use change and a catastrophic wildfire on habitat loss and habitat fragmentation of local plant species richness hotspots in central Chile. To achieve this, we apply a combination of ecological fieldwork, remote sensing, and geoprocessing to estimate the spread and spatial patterns of biodiverse habitats under current and past land-use conditions and how these habitats were altered by land-use change and by a single large wildfire event. We show that land-use change has exceeded the wildfire’s impacts on diverse habitats. Despite the fact that the impact of the wildfire was comparably small here, wildfire may coerce with land-use change regarding pressure on biodiversity hotspots. Our findings can be used to develop restoration concepts, targeting on an increase of habitat diversity within currently fire-cleared areas and evaluate their benefits for plant species richness conservation.

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Dempster-Shafer theory of evidence: A new approach to spatially model wildfire risk potential in central Chile

Cited by 16 publications

References 9 publications

Composite Fault Diagnosis for Rotating Machinery of Large Units Based on Evidence Theory and Multi‐Information Fusion

Composite Fault Diagnosis for Rotating Machinery of Large Units Based on Evidence Theory and Multi‐Information Fusion

Landslide Mapping Using Two Main Deep-Learning Convolution Neural Network Streams Combined by the Dempster–Shafer Model

Consequences of land-use change and the wildfire disaster of 2017 for the central Chilean biodiversity hotspot

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