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Advances in Prognostics and Health Management for Aircraft Landing Gear—Progress, Challenges, and Future Possibilities
Prognostics and health management (PHM) has developed into a crucial discipline because of its never-ending pursuit of safety, effectiveness, and...
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High-Rate Structural Health Monitoring and Prognostics: An Overview
Structural health monitoring (SHM) includes both static and highly dynamic engineering systems. With the advent of real-time sensing, edge-computing,...
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A Review of Physics-based Models in Prognostics and Health Management of Laminated Composite Structures
This article reports on the physics-based models for the diagnosis (detection, isolation, localization, and quantification of damages) and prognosis...
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Prognostics and Health Management for Cyber-Physical System Resilience: A Security and Reliability Perspective
This chapter explores the crucial role of Prognostics and Health Management (PHM) in strengthening the resilience of Cyber-Physical Systems (CPSs),...
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Multimodal Machine Learning in Prognostics and Health Management of Manufacturing Systems
Prognostics and health management (PHM) is a crucial enabler to reduce maintenance costs and enhance the availability and reliability of...
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A python based tutorial on prognostics and health management using vibration signal: signal processing, feature extraction and feature selection
MATLAB is a convenient and well-established engineering tool used by many researchers and engineers in implementing the prognostics and health...
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Novel Approach to Prognostics and Health Management to Combine Reliability and Process Optimisation
Prognostics and Health Management (PHM) supports users with an integrated view of the health of any technical asset, and it consists of many...
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Kalman Filter-Based Systems Approach for Prognostics and Health Management of Electric Motors
A Kalman filter-based framework is proposed for the prognostics and health management of DC electric motors by treating them as a system. The control...
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A Review of Hydraulic Cylinder Faults, Diagnostics, and Prognostics
Hydraulic cylinders are typical actuators that are used in many industries, including manufacturing and construction machinery. Due to the wide...
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Automating Prognostics and Prevention of Errors, Conflicts, and Disruptions
Errors,automatingerrors prevention error prevention automation conflicts, and disruptions exist in many systems. A fundamental question from...
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Health Monitoring Fatigue Properties of Solder Interconnects in LED Drivers
Solder fatigue is a key failure mode in the electronic industry. Monitoring the actual degradation of the solder under real-time conditions in any...
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Diagnostics and prognostics of multi-mode failure scenarios in miter gates using multiple data sources and a dynamic Bayesian network
Current health monitoring approaches for large structures mostly rely on a combination of distributed sensor networks and in-situ inspection. This...
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Data-driven prognostics with low-fidelity physical information for digital twin: physics-informed neural network
In the absence of a high-fidelity physics-based prognostics model, data-driven prognostics methods are widely adopted. In practice, however,...
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Research and Application on Prognostics and Health Management Technology for Highspeed Train Traction System
The maintenance of high-speed train traction systems and their crucial components has always posed challenges within the rail transportation...
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An ontological modelling of multi-attribute criticality analysis to guide Prognostics and Health Management program development
Digital technologies are becoming more pervasive and industrial companies are exploiting them to enhance the potentialities related to Prognostics...
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A Set-Based Uncertainty Quantification of Evolving Fuzzy Models for Data-Driven Prognostics
Recent years have seen a great deal of innovation in the field of systems prognostics and health management. However, even with these advancements,...
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Remaining useful life prognostics based on stochastic degradation modeling: turbofan engine as case study
Monitoring the system's health status by utilizing multiple sensors concurrently and fusion of their information will be effective for assessing the...
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Construction of a Digital Twin Based Monitoring and Early Warning System for Ammonia Equipment
This paper addresses the problem of data prediction and abnormality warning for ammonia critical equipment by building a mathematical model based on...
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Performance Prognostics of Gas Turbines Using Nonlinear Filter
The Original equipment manufacturers (OEM) advice to follow a fixed cycle for an overhaul which is required to recover the deteriorations. However,...