Essays about: "Predictive Maintenance"

Showing result 41 - 45 of 139 essays containing the words Predictive Maintenance.

1. 41. A Systematic Literature Review on Meta Learning for Predictive Maintenance in Industry 4.0

   University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Author : Ahmet Fisenkci; [2022]
   Keywords : Meta-learning; Few-Shot; Predictive Maintenance; Industry 4.0; Fault detection; Fault Prognostics; Fault Diagnosis;

   Abstract : Recent refinements in Industry 4.0 and Machine Learning demonstrate the positive effects of using deep learning models for intelligent maintenance. The primary benefit of Deep Learning (DL) is its capability to extract attributes and make fast, accurate, and automated predictions without supervision. READ MORE

3. 42. Improving maintenance scheduling with condition monitoring on the electric distribution grid : An economic analysis comparing corrective and predictive maintenance

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Hugo Vincenti; [2022]
   Keywords : Condition-based maintenance; predictive maintenance; health index; failure rate; maintenance scheduling; sensors; economic analysis; simulation; Tillståndsbaserat underhåll; förebyggande underhåll; hälsoindex; felfrekvens; underhållsplanering; sensorer; ekonomisk analys; simulering.;

   Abstract : A growing use of sensors on the electric grid has opened the door to new methods of asset management: Distribution System Operators are now looking into conditionbased maintenance, as opposed to the traditional corrective or time-based methods. As an emerging field, the methodology must be constructed from the ground, with the little data available. READ MORE

4. 43. Benefits & Challenges of Process Plant Digital Twins in Process Industries : A Single Case Study Approach in the Mineral Processing Industry

   University essay from Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhet

   Author : Tobias Jensen; [2022]
   Keywords : Digital Twin; Benefits; Challenges; Operational Phase; Lifecycle Management; Industry 4.0; Digitalization; Process Industry; Process Plant;

   Abstract : Background: The Digital Twin is an increasingly trending technology that utilizes many of the key technologies relevant to the digitalization of industries and Industry 4.0, such as AI, Big Data, and IoT, to bring a virtual asset and a physical asset together to perform analysis and execute real-time decision making backed up by data (Grieves & Vickers, 2017; Rasheed et al. READ MORE

5. 44. From Log-Data to Regressive Machine Learning Models for Predictive Maintenance : A case study

   University essay from Uppsala universitet/Industriell teknik

   Author : Lucas Christiaan van Dam; [2022]
   Keywords : Predictive maintenance; Log-data; Remaining useful lifetime; Regression models; Machine learning; Component degradation;

   Abstract : There are three ways to deal with component failure: reactive maintenance, preventive maintenance, and predictive maintenance. Reactive maintenance is to repair only once something breaks. Preventive maintenance is to repair before it breaks, independent of actual wear. READ MORE

6. 45. Scalable Predictive Maintenance through the Eclipse Arrowhead Framework

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Anton Johansson; [2022]
   Keywords : Arrowhead; The Eclipse Arrowhead Framework; Predictive Maintenance; Internet of Things; Industrial Internet of Things; IoT; IIoT; Maintenance; Industry 4.0;

   Abstract : With the rise of Industry 4.0 and the 4:th industrial revolution withthe Internet of Things, infrastructures have become more prevalent to connect and monitor many different systems within an industrial set-ting. READ MORE