01612cam0-22003731i-450-99000021752040332120160608121204.0000021752FED01000021752(Aleph)000021752FED0100002175220020821g17821790km-y0itay50------bafrey-------001yyArchitecture hydraulique, ou l'art de conduire, d'élèver et de ménager les eaux pour les différens besoins de la vie. Par m. Belidor, commissaire provincial d'artillerie, ... Première partie. Tome premier [-seconde partie. Tome second]A ParisChez Barrois1782-17902 v. in 4 t.ill.4°L'editore cambia nei volumi 2.1 e 2.22.1: [10], XIV, [2], 412, XXXI, [1] p., [1], 60 c. di tav. ripieg.2.2: VIII, 480, XXXV, [1] p., [1], 60 c. di tav. ripieg.2.1: L'art de diriger les eaux de la mer etdes rivières à l'avantage de la défensedes places, du commerce et de l'agriculture.2.2: L'art de diriger les eaux de la mer etdes rivières à l'avantage de la défensedes places, du commerce et de l'agricultureCostruzioni marittimeCostruzioni idraulicheFrancia.Parigi627.2itaBelidor,Bernard Forest : de<1697-1761>5383ITUNINARICAUNIMARCAQ99000021752040332113 AR 17 E 144974FINBC13 AR 17 E 134973FINBC13 AR 17 E 154975FINBCFINBCUNINA06943nam 22008173u 450 991050058680332120250628110041.03-030-72192-2(CKB)5360000000050088EBL6733486(OCoLC)1272955903(AU-PeEL)EBL6733486(oapen)https://directory.doabooks.org/handle/20.500.12854/72266(MiAaPQ)EBC6733486(PPN)258053267(ODN)ODN0010073829(oapen)doab72266(EXLCZ)99536000000005008820220617d2021|||| u|| |engur|n|---|||||txtrdacontentcrdamediacrrdacarrierStructural Health Monitoring Damage Detection Systems for AerospaceCham Springer International Publishing AG20211 online resource (292 p.)Springer Aerospace Technology Description based upon print version of record.3-030-72191-4 Intro -- Preface -- Acknowledgment -- Contents -- Contributors -- Chapter 1: Introduction -- Chapter 2: Monitoring Tasks in Aerospace -- 2.1 Condition Monitoring -- 2.2 Operation Monitoring (OM) -- 2.3 Damage Monitoring (DM) -- 2.4 Challenges -- References -- Chapter 3: Defect Types -- 3.1 Metallic Materials -- 3.1.1 Defects During the Manufacturing Process -- 3.1.2 Defects During In-service Conditions -- 3.1.2.1 Fatigue -- 3.1.2.2 Corrosion -- 3.1.2.3 Creep -- 3.1.2.4 Operational Overload -- 3.1.2.5 Wear -- 3.1.2.6 Extreme Weather Conditions -- 3.1.2.7 Miscellaneous Defect Types in Metals3.2 Composite Materials -- 3.2.1 Disbonds -- 3.2.2 Delamination -- 3.2.3 Foreign Inclusion -- 3.2.4 Matrix Cracking -- 3.2.5 Porosity -- 3.2.6 Fibre Breakage -- 3.2.7 Other Composite Laminate Typical Defects -- 3.2.8 Typical Honeycomb Core Defects -- 3.2.9 Typical Foam Core Defects -- 3.2.10 Ingress of Moisture and Temperature -- 3.2.11 Fatigue -- 3.3 Defects in Coatings -- 3.3.1 Defects During the Manufacturing Process -- 3.3.2 Defects During In-service Conditions -- 3.4 Defects in Joints -- 3.4.1 Adhesively Bonded Joints -- 3.4.2 Friction Stir-Welded Joints -- 3.5 Concluding RemarksReferences -- Chapter 4: Aerospace Requirements -- 4.1 Power Consumption -- 4.2 System Reliability/Durability -- 4.3 Effect of Operational Conditions -- 4.4 Size/Weight Restrictions -- 4.5 Optimal Sensor Placement -- 4.6 Summary -- References -- Chapter 5: Ultrasonic Methods -- 5.1 Introduction to Ultrasonic Inspection -- 5.2 Ultrasonic Guided Wave (GW) Inspection -- 5.2.1 Governing Equations of GW Wave Propagation -- 5.2.1.1 Waves in Unbounded Media -- 5.2.1.2 Boundary Conditions -- 5.2.1.3 Dispersion Relation -- 5.2.2 Active and Passive Guided Wave Inspection -- 5.2.3 Dispersion and Attenuation5.2.4 Guided Wave Excitation and Mode Selection -- 5.3 Defect Detection -- 5.3.1 Defect Localisation and Imaging: Sparse, Phased Arrays and Guided Wave Tomography -- 5.3.2 Guided Wave Interaction with Actual Structural Defect -- 5.4 Reliability of SHM Systems -- 5.4.1 Basic Concepts of POD and PFA -- 5.4.2 Sources of Variability of SHM System -- 5.4.3 Analysis of Environmental and Operational Conditions -- 5.4.4 POD Assessment Solutions -- 5.4.5 Model-Assisted POD for SHM System -- 5.5 Guided Wave Applications to SHM of Aerospace Components -- 5.6 Summary -- ReferencesChapter 6: Vibration Response-Based Damage Detection -- 6.1 Introduction -- 6.2 The Rationale of Vibration-Based Methods -- 6.3 Environmental and Operational Influences -- 6.4 Modal-Based Methods and Damage Features -- 6.4.1 Natural Frequencies -- 6.4.2 Mode Shapes -- 6.4.3 Modal Slope -- 6.4.4 Modal Curvature -- 6.4.5 Strain Energy -- 6.4.6 Damping -- 6.4.7 Interpolation Error -- 6.5 Time Series Methods -- 6.5.1 Autoregressive Parameters -- 6.5.2 Intrinsic Mode Function and Hilbert Spectrum -- 6.5.3 Signal Components -- 6.5.4 Damage Indices Based on Extracted Features6.5.5 Singular Spectrum Analysis (SSA)This open access book presents established methods of structural health monitoring (SHM) and discusses their technological merit in the current aerospace environment. While the aerospace industry aims for weight reduction to improve fuel efficiency, reduce environmental impact, and to decrease maintenance time and operating costs, aircraft structures are often designed and built heavier than required in order to accommodate unpredictable failure. A way to overcome this approach is the use of SHM systems to detect the presence of defects. This book covers all major contemporary aerospace-relevant SHM methods, from the basics of each method to the various defect types that SHM is required to detect to discussion of signal processing developments alongside considerations of aerospace safety requirements. It will be of interest to professionals in industry and academic researchers alike, as well as engineering students. This article/publication is based upon work from COST Action CA18203 (ODIN - http://odin-cost.com/), supported by COST (European Cooperation in Science and Technology). COST (European Cooperation in Science and Technology) is a funding agency for research and innovation networks. Our Actions help connect research initiatives across Europe and enable scientists to grow their ideas by sharing them with their peers. This boosts their research, career and innovation.Springer Aerospace Technology Materials sciencebicsscAerospace & aviation technologybicsscCircuits & componentsbicsscMensuration & systems of measurementbicsscImaging systems & technologybicsscMechanics of solidsbicsscStructural health monitoringAerospace monitoringNondestructive evaluationAcoustic emissionGuided wavesVibration monitoringAcousto-ultrasonicsFiber optical sensorsDefect typesAerospace requirementsopen accessMaterials scienceAerospace & aviation technologyCircuits & componentsMensuration & systems of measurementImaging systems & technologyMechanics of solidsSCI096000TEC002000TEC008000TEC008010TEC021000TEC022000bisacshSause Markus G. R1223374Jasiūnienė Elena1240121AU-PeELAU-PeELAU-PeELBOOK9910500586803321Structural Health Monitoring Damage Detection Systems for Aerospace2876799UNINA03527nam 22005895 450 991086109840332120250807143238.0981-9724-24-410.1007/978-981-97-2424-6(MiAaPQ)EBC31343961(Au-PeEL)EBL31343961(CKB)32063340200041(DE-He213)978-981-97-2424-6(EXLCZ)993206334020004120240517d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierIntelligent Computing in Carcinogenic Disease Detection /by Kaushik Das Sharma, Subhajit Kar, Madhubanti Maitra1st ed. 2024.Singapore :Springer Nature Singapore :Imprint: Springer,2024.1 online resource (189 pages)Computational Intelligence Methods and Applications,2510-1773981-9724-23-6 Chapter 1. Introduction -- Chapter 2. Biological Background of Benchmark Carcinogenic Data Sets -- Chapter 3. Intelligent Computing Approaches for Carcinogenic Disease Detection: A Review -- Chapter 4. Classical Approaches in Gene Evaluation for Carcinogenic Disease Detection -- Chapter 5. Intelligent Computing Approach in Gene Evaluation for Carcinogenic Disease Detection -- Chapter 6. Intelligent Computing Approach for Leukocyte Identification -- Chapter 7. Intelligent Computing Approach for Lung Nodule Detection -- Chapter 8. Conclusion -- Index.This book draws on a range of intelligent computing methodologies to effectively detect and classify various carcinogenic diseases. These methodologies, which have been developed on a sound foundation of gene-level, cell-level and tissue-level carcinogenic datasets, are discussed in Chapters 1 and 2. Chapters 3, 4 and 5 elaborate on several intelligent gene selection methodologies such as filter methodologies and wrapper methodologies. In addition, various gene selection philosophies for identifying relevant carcinogenic genes are described in detail. In turn, Chapters 6 and 7 tackle the issues of using cell-level and tissue-level datasets to effectively detect carcinogenic diseases. The performance of different intelligent feature selection techniques is evaluated on cell-level and tissue-level datasets to validate their effectiveness in the context of carcinogenic disease detection. In closing, the book presents illustrative case studies that demonstrate the value of intelligent computing strategies.Computational Intelligence Methods and Applications,2510-1773Artificial intelligenceData processingComputer scienceEngineeringData processingData ScienceTheory and Algorithms for Application DomainsData EngineeringArtificial intelligenceData processing.Computer science.EngineeringData processing.Data Science.Theory and Algorithms for Application Domains.Data Engineering.005.7Das Sharma Kaushik980118Kar Subhajit1739475Maitra Madhubanti1739476MiAaPQMiAaPQMiAaPQBOOK9910861098403321Intelligent Computing in Carcinogenic Disease Detection4163476UNINA