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Advances in Risk and Reliability Modelling and Assessment de Prabhakar V. Varde

Advances in Risk and Reliability Modelling and Assessment: Lecture Notes in Mechanical Engineering

Editat de Prabhakar V. Varde, Gopika Vinod, N. S. Joshi

en Limba Engleză Paperback – iun 2024

Veți descoperi o lucrare enciclopedică ce documentează frontiera actuală a ingineriei siguranței, așa cum a fost ea dezbătută la cea de-a cincea Conferință Internațională privind Fiabilitatea, Siguranța și Pericolele (ICRESH-2024). Subliniem importanța acestui volum prin prisma integrării tehnologiilor emergente; nu mai discutăm doar despre statistici clasice, ci despre modul în care algoritmii de învățare automată și inteligența artificială redefinesc predicția riscurilor în sisteme complexe.

Structura volumului reflectă o progresie logică de la modele teoretice la aplicații critice. Reținem capitolele dedicate detecției tranzienților în reactoare nucleare prin Support Vector Machine și utilizarea rețelelor neuronale C-LSTM pentru diagnosticarea scurgerilor hidraulice. Această abordare tehnică riguroasă amintește de Reliability, Safety and Hazard Assessment for Risk-Based Technologies prin focusul pe evaluarea probabilistică, dar aduce o perspectivă proprie prin accentul masiv pus pe digitalizarea proceselor de monitorizare și mentenanță selectivă.

În contextul operei editorului Prabhakar V. Varde, Advances in Risk and Reliability Modelling and Assessment continuă direcția începută în Risk-Conscious Operations Management, însă extinde cadrul de analiză către fenomene naturale și securitate, incluzând studii despre date seismice și sisteme anti-dronă. Este un volum masiv, de peste 900 de pagini, care funcționează ca un manual de bune practici pentru ingineria bazată pe risc, oferind instrumente matematice esențiale pentru modelarea incertitudinii și senzitivității în proiectele de anvergură.

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Specificații

ISBN-13: 9789819730865
ISBN-10: 9819730864
Pagini: 916
Ilustrații: XVIII, 895 p. 407 illus., 339 illus. in color.
Dimensiuni: 155 x 235 x 46 mm
Greutate: 1.52 kg
Ediția:2024
Editura: Springer
Seria Lecture Notes in Mechanical Engineering

Locul publicării:Singapore, Singapore

De ce să citești această carte

Această carte este esențială pentru inginerii și cercetătorii care gestionează sisteme cu risc ridicat, precum centralele nucleare sau infrastructura critică. Cititorul câștigă acces la studii de caz de ultimă oră despre implementarea AI în mentenanță și siguranță, oferind un avantaj competitiv în proiectarea unor sisteme reziliente și în luarea deciziilor informate de risc.

Despre autor

Prabhakar V. Varde este un expert recunoscut în domeniul ingineriei riscului și fiabilității, fiind o figură centrală în organizarea conferințelor internaționale de profil. Alături de co-editorii Gopika Vinod și N. S. Joshi, acesta a coordonat numeroase volume publicate de Springer, concentrându-se pe managementul operațiunilor conștiente de risc și pe analiza sistemelor critice. Expertiza sa acoperă atât fundamentarea teoretică a siguranței, cât și implementarea soluțiilor tehnologice avansate în industria nucleară și de proces, contribuind semnificativ la literatura tehnică prin serii prestigioase precum Lecture Notes in Mechanical Engineering.

Descriere scurtă

This book presents the proceedings of the 5th International Conference on Reliability Safety & Hazard-2024, held in Mumbai during February 21–24, 2024. It covers the latest advances in artificial intelligence and machine learning in development of risk-conscious culture. Various topics covered in this volume are reliability prediction, precursor event analysis, fuzzy reliability, structural reliability, passive system reliability, digital system reliability, risk-informed approach to decision making, dynamic PSA, uncertainty and sensitivity modeling, among others. The book is a valuable resource for researchers and professionals working in both academia and industry in the areas of complex systems, safety-critical systems, and risk-based engineering.

Cuprins

A Support Vector Machine Model for Detection of Transients in Nuclear Reactor.- Reinforcement Learning for Mission Reliability Based Selective Maintenance Optimization.- Role of Ai in Anti-drone Systems: A Review.- Transient Identification in Nuclear Power Plants by Pca Based Neural Networks.- Internal Leakage Diagnosis of a Hydraulic Cylinder Using C-lstm Neural Network.- Assessment of Wind Forecasts from a Numerical Weather Prediction Model for Indian Npp Sites.- Development of Kalman Filter Based Source Term Estimation Model (Stem).- Evaluation of Internal Fire Hazards in Indian Nuclear Power Plants.- A Novel Implementation of Tableau Software for Visualisation of Seismic Data from Himalayan Region.- Time-frequency Analysis of Strong Ground Motions from the 1989 Loma Prieta Earthquake.- Prediction of Effective Duration of Vertical Ground Motions Based on Machine Learning Algorithms.- Rul Estimation of Igbt Modules under Power Cycling Stress.- Reliability and Cost-effectiveness Trade-offs in Hierarchical Industrial Networks.- Investigation of Primary Radiation Damage in Nanocrystalline Tantalum Using Machine-learning Interatomic Potential: An Atomistic Simulation Study.- Performance Evaluation of Silicon Carbide (Sic) Power Mosfets under Gamma Radiation.

Notă biografică

Prof. Prabhakar V. Varde started his carrier at Bhabha Atomic Research Centre in 1983 as nuclear engineering trainee of BARC Training School in 27th Batch and joined erstwhile Reactor Operations and Maintenance Group now Reactor Group and served initially as commissioning and later operations engineering for Dhruva—a 100 MW research reactor at BARC and rose through the administrative ladder and retired in 2019 as an associated director, Reactor Group. During his service, he completed his Ph.D. from IIT, Bombay in 1996 in AI-based operator advisory system and later focused his research on nuclear safety in general and risk-based engineering in particular, while working for reactor-related services responsibilities.
Alongside his regular duties, he continued R&D in the area of Risk and Reliability and Academics. He also served as a senior professor, guide and member of the Board of Studies in Engineering Sciences of Homi Bhabha National Institute, Mumbai.
Dr. Gopika Vinod joined with Reactor Safety Division of Bhabha Atomic Research Centre as a scientific officer from 37th batch of training school after completing her graduation in computer engineering. She received her doctoral degree in Reliability Engineering from Indian Institute of Technology, Bombay, and has also been post-doctoral fellow at Steinbeis Advanced Risk Technologies, Germany. She is a recipient of DAE Young Engineer Award 2007, DAE Group Achievement Award (2015, 2019). Currently, she is heading the Probabilistic Safety Section of Reactor Safety Division of BARC. She also holds faculty position as a professor and dean academic (Engg Sciences-2 to BARC) with Homi Bhabha National Institute. She is also a fellow at Indian National Academy of Engineering.
Mr. Narendra Joshi completed his Bachelor’s degree in Mechanical Engineering from Shivaji University, Kolhapur, and joined Bhabha Atomic Research Centre (BARC), Mumbai, in the year 1990 and started his career in Operations and Maintenance of Nuclear Research Reactors. For over three decades, he has been serving in BARC. Apart from operations and maintenance, his expertise also includes root cause analysis and human resource development. He was actively involved in development of a full-scope simulator for research reactor, Dhruva, at BARC for operator training and human factor development. He was also involved in preparation of probabilistic risk assessment of research reactors at BARC and other nuclear facilities.
He is a founder member of the Society for Reliability and Safety and currently working as a managing editor of Springer International Journal on Life Cycle Reliability and Safety Engineering.

Caracteristici

Presents select proceedings of ICRESH 2024 Covers advances in risk and reliability modeling and assessment Is useful for researchers and professionals