[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Bala et al., 2024 - Google Patents

Artificial intelligence and edge computing for machine maintenance-review

Bala et al., 2024

View HTML @Full View
Document ID
1552630673245140266
Author
Bala A
Rashid R
Ismail I
Oliva D
Muhammad N
Sait S
Al-Utaibi K
Amosa T
Memon K
Publication year
Publication venue
Artificial Intelligence Review

External Links

Snippet

Industrial internet of things (IIoT) has ushered us into a world where most machine parts are now embedded with sensors that collect data. This huge data reservoir has enhanced data- driven diagnostics and prognoses of machine health. With technologies like cloud or …
Continue reading at link.springer.com (HTML) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063Operations research or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/04Inference methods or devices
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/02Knowledge representation
    • G06N5/022Knowledge engineering, knowledge acquisition
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0243Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0283Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL]
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/01Social networking
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00Computer systems based on specific mathematical models
    • G06N7/005Probabilistic networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models

Similar Documents

Publication Publication Date Title
Ran et al. A survey of predictive maintenance: Systems, purposes and approaches
Chi et al. Knowledge-based fault diagnosis in industrial internet of things: a survey
Kordestani et al. Failure prognosis and applications—A survey of recent literature
Wu et al. A joint classification-regression method for multi-stage remaining useful life prediction
Zio Some challenges and opportunities in reliability engineering
Hafeez et al. Edge intelligence for data handling and predictive maintenance in IIOT
Hu et al. Remaining useful life model and assessment of mechanical products: a brief review and a note on the state space model method
Wu et al. Layer-wise relevance propagation for interpreting LSTM-RNN decisions in predictive maintenance
Du et al. Trans-Lighter: A light-weight federated learning-based architecture for Remaining Useful Lifetime prediction
Mian et al. Artificial intelligence of things based approach for anomaly detection in rotating machines
Farhat et al. Impacts of wireless sensor networks strategies and topologies on prognostics and health management
Selvaraj et al. Proactive maintenance of small wind turbines using IoT and machine learning models
Qin et al. Dynamic weighted federated remaining useful life prediction approach for rotating machinery
Murugiah et al. A design of predictive manufacturing system in IoT‐assisted Industry 4.0 using heuristic‐derived deep learning
Djelloul et al. Fault diagnosis of manufacturing systems using data mining techniques
Cohen et al. Shapley-based explainable ai for clustering applications in fault diagnosis and prognosis
Chowdhury et al. Internet of Things resource monitoring through proactive fault prediction
Jianghong et al. A comprehensive survey of machine remaining useful life prediction approaches based on pattern recognition: Taxonomy and challenges
Velasco-Gallego et al. Mar-RUL: A remaining useful life prediction approach for fault prognostics of marine machinery
Pandiyan et al. Systematic Review on Fault Diagnosis on Rolling-Element Bearing
Azari et al. Improving resilience in cyber-physical systems based on transfer learning
Bala et al. Artificial intelligence and edge computing for machine maintenance-review
Mamun et al. Smart systems for real-time bearing faults diagnosis by using vibro-acoustics sensor fusion with Bayesian optimised 1-D CNNs
Wang et al. Knowledge and Data Dual-Driven Fault Diagnosis in Industrial Scenarios: A Survey
Liang et al. Civil infrastructure serviceability evaluation based on big data