Data-Driven Methods for Reliability and Safety Engineering : Leveraging AI, Machine Learning, and Advanced Analytics to Enhance Risk Assessment, Decision-Making, and System Performance.

Format:

Book

Author/Creator:

Li, He.

Series:

Springer Series in Reliability Engineering Series

Language:

English

Physical Description:

1 online resource (866 pages)

Edition:

1st ed.

Place of Publication:

Cham : Springer, 2026.

Summary:

This book provides a comprehensive guide to using data-driven methods in reliability and safety engineering for industrial systems.It explores how modern technologies like data analytics, machine learning, and artificial intelligence can enhance decision-making, predict failures, and improve system resilience.

Contents:

Springer Series in Reliability Engineering

Data-Driven Methods for Reliability and Safety Engineering: Applications in Industrial Systems

Preface

Contents

About the Editors

Reliability Analysis of Aircraft Grooved Joints Based on Response Surface Methodology

Comprehensive Evaluation Techniques of Basic Reliability Based on Data Fusion of Similar Products

Mission Reliability Comprehensive Evaluation Technique Based on Multi-stage Information

Preliminary Exploration of Exemption Methods for Single-Fault Criteria in Nuclear Power Plants

Accuracy Lifetime Prediction Methodology for RV Reducer

Derating Design of Control Circuits Based on Harpness Simulation

AK-SYSC: A Kriging-Based Approach for Multi-failure-Mode Structural Systems Reliability Analysis

Risk-Informed Intelligent Design Optimization for Nuclear Power Plants Using Probabilistic Safety Analysis

Research on Fault Data-Driven Quality Risk Assessment Method for Aviation Equipment

A Preliminary Summary of Failure Mode and Effects Analysis of Digital Control Systems

Research on the Reliability Assurance System in the Product Development Process

An Architectural Design for the Reliability and Safety of Battery Management System

Research on Reliability Classification Technology of High-Temperature Gas-Cooled Reactor

Maintenance Optimisation for K-out-of-N: G System Using Deep Reinforcement Learning

Investigation on Quantitative Evaluation Technology for System Integrated Support

Goal-Oriented Reliability Program Framework for Space Science and Application Payloads

Study on the Effectiveness Evaluation of Cross-Flooding Hatches in Damage Stability Design of Large Passenger Vessels

Calculation and Analysis of Fatigue Life Damage of Diesel Engine Crankshaft.

Exploratory Research on Optimizing Equipment Support Supply Chain Based on Boundaryless Organization Theory

Research on High-Efficiency Milling Process and Machining Parameter Optimization of Aircraft Wing Rib Components

ESPAC-Based Linear Array Microtremor Tomography Method and Its Application in Goaf Detection

A Study on Fault Prediction of Simulated Die Press Machine Based on Machine Learning

Digital Twin-Driven Condition Monitoring for Servo Valves

YOLO-MVCP: A Lightweight Fault Diagnosis Method of Rolling Bearing Based on STFT Time-frequency Graph and MobileViT Network Pruning

Design of System-Level Self-health Energy Management of Manned Spacecraft

A PINN-CNN Hybrid Architecture for Vibration-Based Damage Detection in Airship Envelopes

Coupling Simulation Analysis of High Temperature Heater Under Multiple Physical Fields

Research on Instantiation Method of Object-Oriented Bayesian Network for Fault Diagnosis Based on Dynamic Weight Parameter Transfer

From Phenomena to Mechanisms: A Time-Space-Matter Multidimensional Analysis of Aerospace Electronic Failures

Research on the Health Monitoring Technology of Preload for Complex Aerospace Equipment Fastening Devices

Probabilistic Life Estimation Framework for Mechanical Component

Uncertainty Propagation in Bridge Construction Carbon Emission Quantification

Gas Turbine Rotor Systematic Upgrading Technology Research and Engineering Application

A Storage Life Assessment Method for Missile Based on Critical Component Inspection Date

Research on Internal Stress Damage Detection Strategies for Optical Components

Study of Properties of High Zn Content Aluminium Alloys for Thin Wall Deep Cavity Casting

Nanoindentation-Based Finite Element Characterization Method for 25Cr2Ni2MoV Rotor Steel Welded Joints.

Quantification of Risk and Control of Bidding for a Nuclear Power Plant Project's Marine Water Intake Project

Research on Accelerated Test Method for Reliability of a Certain Refrigeration Device

Research on Degradation Model of Marine Seawater Centrifugal Pump Based on Main Mechanism of Cavitation Erosion

Generative AI in Safety-Critical Systems: Risks of Sycophancy, Hallucination, and Trust Degradation

Human-Centred Intelligence in Manufacturing Safety: From Observation to Smart Conversations

Sloshing Dynamics and Its Impact on Ship Stability and Safety

A Computational-Based Comparative Fatigue Analysis of Composite and Steel Risers

Implementation of Process Safety Management System in the Power Plant Industry Using the Monte Carlo Probabilistic Method

Prioritizing HSE Management Risks in Bridge Construction Projects Using Monte Carlo Modeling

Fault Prediction Methods for Locomotive Turbochargers.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9783032228734

OCLC:

1607917697