Zucchini, Luca
 
(2023)
Design and Analysis of a Gearbox Predictive Maintenance System.
[Laurea magistrale], Università di Bologna, Corso di Studio in 
Artificial intelligence [LM-DM270], Documento full-text non disponibile
  
 
  
  
        
        
	
  
  
  
  
  
  
  
    
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      Abstract
      In today's world of industry and manufacturing, the maintenance of machines and their components plays an important role. Each year companies invest large sums of money in routine and preventive maintenance, based on schedules defined without knowledge of the actual state of wear and tear of machines. Predictive maintenance, on the other hand, allows companies to perform restorations on machines only when necessary, avoiding needless interventions and cutting the cost of maintenance. In this work, we will present a predictive maintenance system applied to gearboxes. System designed not only to recognise and anticipate failures, but also to estimate the remaining useful life of the gearbox under analysis. We will present its structure and operation, and then analyse its performance through ad-hoc defined surrogate metrics, made necessary by the absence of ground truth on gearbox wear.
     
    
      Abstract
      In today's world of industry and manufacturing, the maintenance of machines and their components plays an important role. Each year companies invest large sums of money in routine and preventive maintenance, based on schedules defined without knowledge of the actual state of wear and tear of machines. Predictive maintenance, on the other hand, allows companies to perform restorations on machines only when necessary, avoiding needless interventions and cutting the cost of maintenance. In this work, we will present a predictive maintenance system applied to gearboxes. System designed not only to recognise and anticipate failures, but also to estimate the remaining useful life of the gearbox under analysis. We will present its structure and operation, and then analyse its performance through ad-hoc defined surrogate metrics, made necessary by the absence of ground truth on gearbox wear.
     
  
  
    
    
      Tipologia del documento
      Tesi di laurea
(Laurea magistrale)
      
      
      
      
        
      
        
          Autore della tesi
          Zucchini, Luca
          
        
      
        
          Relatore della tesi
          
          
        
      
        
      
        
          Scuola
          
          
        
      
        
          Corso di studio
          
          
        
      
        
      
        
      
        
          Ordinamento Cds
          DM270
          
        
      
        
          Parole chiave
          Machine Learning,Predictive maintenance,Gearmotors
          
        
      
        
          Data di discussione della Tesi
          23 Marzo 2023
          
        
      
      URI
      
      
     
   
  
    Altri metadati
    
      Tipologia del documento
      Tesi di laurea
(NON SPECIFICATO)
      
      
      
      
        
      
        
          Autore della tesi
          Zucchini, Luca
          
        
      
        
          Relatore della tesi
          
          
        
      
        
      
        
          Scuola
          
          
        
      
        
          Corso di studio
          
          
        
      
        
      
        
      
        
          Ordinamento Cds
          DM270
          
        
      
        
          Parole chiave
          Machine Learning,Predictive maintenance,Gearmotors
          
        
      
        
          Data di discussione della Tesi
          23 Marzo 2023
          
        
      
      URI
      
      
     
   
  
  
  
  
  
  
    
      Gestione del documento: 
      
        