Sökning: "PDM SYSTEM"

Visar resultat 1 - 5 av 28 uppsatser innehållade orden PDM SYSTEM.

1. 1. Data analysis for predictive maintenance and potential challenges associated with the technology integration of steel industry machines.

   Master-uppsats, Högskolan i Gävle/Elektronik

   Författare :Pradip Nath; [2024]
   Nyckelord :Data Science; Data processing; Industrial Manufacturing; System Identification; Predictive maintenance; Conditional monitoring; Statistical Analysis; Signal processing; Hydraulic System; IoT; Sustainable Maintenance; Data vetenskap; Databehandling; Industriell tillverkning; System identifiering; Prediktivt underhåll; Tillståndsövervakning; Statistisk analys; Signal behandling;

   Sammanfattning : The recharge is the focus of data analysis of the different situations with the integration of the system and development of the two-stage 2/2 proportional cartridge valve for the steel industry machine. Using the statistical analysis technique to visualize the valve signal data behavior identify the accuracy of the machine data and apply the statistical feature extracting model using classification and clustering algorithms of real-time data analysis for the manufacturing. LÄS MER

3. 2. Product Structures with Attribute Management for future PLM systems : A study for Ericsson BOM Management

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :PAWAN RAJ SINGH; [2023]
   Nyckelord :PLM; BOM; PRIM; 3DX; Attribute; Widget; Product Structure; WoW; OOTB; PLM; BOM; PRIM; 3DX; Attribute; Widget; Product Structure; WoW; OOTB;

   Sammanfattning : Information Management in the database system for the Product Development process demands continuous evolution and digital transformation investigations with the PLM systems to explore the latest functionalities. Ericsson today has a main frame PDM system PRIM with various connected sub-systems to store the Product related data which serves limited functionality and does not fully track the complete lifecycle in the IT system landscape. LÄS MER

4. 3. Predictive Maintenance of Induction Motors using Deep Learning : Anomaly Detection using an Autoencoder Neural Network and Fault Classification using a Convolutional Neural Network

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Diego Andres Moreno Salinas; [2022]
   Nyckelord :Predictive maintenance; Fault Diagnosis; Anomaly Detection; Deep Learning; Machine Learning; Induction Motors; Prediktivt underhåll; feldiagnostik; upptäckt av avvikelser; djup inlärning; maskininlärning; induktionsmotorer;

   Sammanfattning : With the fast evolution of the Industry 4.0, the increased use of sensors and the rapid development of the Internet of Things (IoT), and the adoption of artificial intelligence methods, smart factories can automate their processes to vastly improve their efficiency and production quality. LÄS MER

5. 4. Contamination Level Detection of Hydraulic Pressure Filters in Forklifts : using only pump motor currents and load pressure measurements

   Master-uppsats, Linköpings universitet/Institutionen för systemteknik

   Författare :Robert Sehlstedt; Erik Sellén; [2022]
   Nyckelord :forklift; contamination; level; fault; detection; hydraulic; pressure; filter; pump; motor; current; pressure; data; pdm; predictive; maintenance; rm; reactive; physical; model; modelling; models; moving; window; linear; regression; armature; mean; gaffeltruck; kontamineringsnivå; kontaminering; detektering; feldetektering; tryckfilter; hydraulikfilter; hydraulfilter; filter; pumpfilter; pump; motor; motorström; tryck; linjär; regression; linjärregression; fysikalisk; modellering; modell; armatur; genomsnittsvärde; fönster; data; datafönster;

   Sammanfattning : With the advent of Industry 4.0 and the Internet of Things, collecting data on Cyber-Physical systems has become the norm practice in large scale industries. By collectingrelevant data, it is possible to monitor the health status of whole systems or specificcomponents within them. LÄS MER

7. 5. Dual-polarized feed for mmWave lens antennas

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Juan Luis Albadalejo Lijarcio; [2020]
   Nyckelord :;

   Sammanfattning : The fact of being bulky and not very cost-efficient made lens antennas not to be takenmuch into account in the past. Nowadays, this kind of antennas has attracted moreattention due to the increasing demand of higher frequencies in 5G, where lensesbecome considerably smaller. LÄS MER