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1 maj 2024 · This review explores the evolving landscape of process safety, emphasizing the integration of digitalization and advanced technologies. It assesses the role of the industrial Internet of Things, artificial intelligence, and machine learning (ML) in enhancing safety protocols.
7 wrz 2021 · This paper conducts a review of PHM approaches, the current research trends and proposes a three-phased interoperable framework to implement Smart Prognostics and Health Management (SPHM). The uniqueness of SPHM lies in its framework, which makes it applicable to any manufacturing operation across the industry.
1 lis 2023 · Prognostics and health management (PHM) has become a critical requirement of smart factories to meet production needs. PHM of components/machines in the smart factory is crucial for securing uninterrupted operation and ensuring safety standards.
1 gru 2019 · Introduction. Expectations from external stakeholders for eco-safe products and production processes and internal stakeholders for transparent, stable, and robust environment, safety, and health operations have driven high technology organizations to adopt multipart management systems.
13 kwi 2018 · After brief introductions to important concepts and definitions composing smart factory and Industry 4.0, the developments in maintenance strategies towards Prognostics and health management (PHM) of machines are summarized.
22 cze 2019 · This paper harmonizes and builds upon methodologies for the fields of risk analysis and prognostics and health management (PHM) in smart manufacturing. It demonstrates that augmenting the theory, methodology, and current practice of both fields can add significant value to one another.
6 lip 2023 · Self-healing systems are emerging as a viable solution to the increasing complexity of system management requirements in manufacturing. These systems attempt to classify and analyze sensory data in order to autonomously detect and mitigate faults.
