Drone Fleet Survivability Evaluation Based on Lanchester’s Modified Deterministic Model

An algorithmic approach for the assessment of the survivability is proposed that is based on Lanchester’s modified deterministic model. Methods are suggested for increasing the available time capability for nuclear power plant monitoring and coverage, using the required or a limited number of the operable drones,. Dependencies of the variance between the residual fleet damage and permissible drone fleet damage on monitoring time as well as dependencies of the monitoring time on the recovery group productivity are analysed

Continuous Autonomous UAV Inspection for FPSO vessels

This Master's thesis represents the preliminary design study and proposes the unmanned aerial vehicle (UAV) -based inspection framework, comprising several multirotors with automatic charging and deployment for 24/7 integrity inspection tasks. This project has three main topics. First one describes the operational environment and existing regulations that cover use of UAVs. It forms the basis for proposal of the relevant use-case scenarios. Third part comprises two chapters, where design of concept and framework is being based on the previous factors. It shows that before implementation of fully autonomous inspection system, there is a need to cover both regulatory and technical gaps. It can be explained by the fact that there does not exist any autonomous inspection system today. Thus, this project can be seen as a base for future development of the UAV-based inspection system, as it focuses on creation of a general framework

Safety and Reliability - Safe Societies in a Changing World

The contributions cover a wide range of methodologies and application areas for safety and reliability that contribute to safe societies in a changing world. These methodologies and applications include: - foundations of risk and reliability assessment and management - mathematical methods in reliability and safety - risk assessment - risk management - system reliability - uncertainty analysis - digitalization and big data - prognostics and system health management - occupational safety - accident and incident modeling - maintenance modeling and applications - simulation for safety and reliability analysis - dynamic risk and barrier management - organizational factors and safety culture - human factors and human reliability - resilience engineering - structural reliability - natural hazards - security - economic analysis in risk managemen

Sähkönsiirtoverkko-omaisuuden kunnonvalvontajärjestelmä Esineiden Internet -alustalla

Fingrid is making the transition from time-based maintenance to condition-based maintenance in order to increase the cost-efficiency of substation asset condition management and to prevent equipment failures. Digitalization improves real-time visibility to asset condition as Fingrid is developing an Internet of Things (IoT) concept for online asset condition monitoring. The objective of this Thesis was to specify Fingrid's requirements for asset condition data visualization in an Asset Performance Management (APM) application. A secondary objective was to document Fingrid's IoT concept and existing condition monitoring practices. Asset maintenance strategies, digitalization and Internet of Things were discussed as a background. For the IoT data of switchgear, simple illustrations of dashboards were drawn to show how the data could be visualized in an APM application. Regarding power transformers, the necessary basic elements for condition data visualization were reviewed. Specifications for visualization of all the available condition data were listed in Appendices. Online condition monitoring is currently concentrated on switchgear, power transformers and substation buildings. The IoT solution for switchgear consists of low-cost sensor units installed in switchgear control cabinets and bay marshalling cabinets. Power transformers are equipped with online DGA (Dissolved Gas Analysis) instruments which is a well-established practice. In substation buildings, the climate is monitored with low-cost IoT sensors. The conclusion of the study was that there are two types of condition data that determine Fingrid's requirements for data visualization in an APM application: time series data and event data. Monitoring of continuous processes produces a large amount of continuous time series data. A tool with efficient functionalities for time series data presentation and analysis is needed. Switchgear operations and oil sampling produce event data that require visualization in forms of data reporting and special analyses. The amount of event data is small even though it will increase due to IoT.Fingrid on siirtymässä aikaperusteisesta sähköasemien kunnossapidosta kuntoperusteiseen kunnossapitoon kustannustehokkuuden parantamiseksi ja laitevikojen ennalta ehkäisemiseksi. Reaaliaikaista näkyvyyttä omaisuuden kuntoon parannetaan kehittämällä "Esineiden Internet" (\textit{engl. Internet of Things, IoT}) -konsepti omaisuuden käytönaikaiseen kunnonvalvontaan. Tämän diplomityön tavoitteena oli laatia määrittelyt kunnonvalvontadatan visualisoinnille omaisuuden kunnonvalvontajärjestelmässä. Toisena tavoitteena oli dokumentoida Fingridin IoT-konsepti ja käytössä olevat perinteiset kunnonvalvontamenetelmät. Taustana työlle esiteltiin omaisuuden kunnonhallintamalleja, digitalisaatiota ja Esineiden Internetiä. Kytkinlaitteiden IoT-datan visualisoinnin tarpeiden hahmottamiseksi laadittiin luonnoksia kunnonvalvontajärjestelmän näkymistä. Muuntajien kunnonvalvonnan tarpeelliset osa-alueet kunnonvalvontajärjestelmässä käytiin läpi käytössä olevia ratkaisuja tutkimalla. Määrittelyt kaiken käytettävissä olevan kunnonvalvontadatan visualisoinnille listattiin työn liitteissä. Käytönaikainen kunnonvalvonta keskittyy tällä hetkellä kytkinlaitteisiin, muuntajiin ja sähköasemarakennuksiin. Kytkinlaitteiden IoT-ratkaisu koostuu kytkinlaitteen ohjainkaappiin sekä kytkinkentän jakokaappiin asennetuista kustannustehokkaista sensoriyksiköistä. Muuntajat on varustettu jatkuva-aikaisella vikakaasujen seurannalla, mikä on toimivaksi todettu ja vakiintunut kunnonvalvontamenetelmä. Asemarakennusten olosuhteita valvotaan huoneisiin sijoitetuilla IoT-sensoriyksiköillä. Työn johtopäätöksenä voidaan todeta kunnonvalvontadatan jakaantuvan pääasiassa kahteen muotoon, jotka määrittelevät Fingridin tarpeet kunnonvalvontajärjestelmälle. Jatkuva-aikaisten prosessien valvonta tuottaa suuren määrän jatkuvaa aikasarjadataa, minkä vuoksi tehokkaat työkalut aikasarjadatan esittämiselle ovat tarpeen. Kytkinlaitteiden ohjaukset ja muuntajien öljynäytteet puolestaan tuottavat tapahtumaperusteista dataa, jonka visualisointi muistuttaa datan raportointimenetelmiä. Tarvitaan erilaisia datan esitystapoja ja mukautettuja analysointimenetelmiä. Tapahtumadatan määrä on pieni siitä huolimatta, että sen määrä kasvaa huomattavasti IoT:n myötä

Aeronautical Engineering: A continuing bibliography (supplement 158)

This bibliography lists 499 reports, articles and other documents introduced into the NASA scientific and technical information system in January 1983

Aeronautical Engineering: A special bibliography with indexes, supplement 32, June 1973

This special bibliography lists 372 reports, articles, and other documents introduced into the NASA scientific and technical information system in May 1973

New Waves of IoT Technologies Research – Transcending Intelligence and Senses at the Edge to Create Multi Experience Environments

The next wave of Internet of Things (IoT) and Industrial Internet of Things (IIoT) brings new technological developments that incorporate radical advances in Artificial Intelligence (AI), edge computing processing, new sensing capabilities, more security protection and autonomous functions accelerating progress towards the ability for IoT systems to self-develop, self-maintain and self-optimise. The emergence of hyper autonomous IoT applications with enhanced sensing, distributed intelligence, edge processing and connectivity, combined with human augmentation, has the potential to power the transformation and optimisation of industrial sectors and to change the innovation landscape. This chapter is reviewing the most recent advances in the next wave of the IoT by looking not only at the technology enabling the IoT but also at the platforms and smart data aspects that will bring intelligence, sustainability, dependability, autonomy, and will support human-centric solutions.acceptedVersio

Aeronautical Engineering: A special bibliography with indexes, Supplement 35, September 1973

This special bibliography lists 614 reports, articles, and other documents introduced into the NASA scientific and technical information system in August 1973