@article{1476047,
      recid = {1476047},
      author = {Mahalle, Parikshit N. and Hujare, Pravin P. and Shinde,  Gitanjali Rahul,},
      title = {Predictive analytics for mechanical engineering : a  beginner's guide /},
      publisher = {Springer,},
      address = {Singapore :},
      pages = {1 online resource (107 p.).},
      year = {2023},
      abstract = {This book focus on key component required for building  predictive maintenance model. The current trend of  Maintenance 4.0 leans towards the preventive mechanism  enabled by predictive approach and condition-based smart  maintenance. The intelligent decision support, earlier  detection of spare part failure, fatigue detection is the  main slices of intelligent and predictive maintenance  system (PMS) leading towards Maintenance 4.0 This book  presents prominent use cases of mechanical engineering  using PMS along with the benefits. Basic understanding of  data preparation is required for development of any AI  application; in view of this, the types of the data and  data preparation processes, and tools are also presented in  this book.},
      url = {http://library.usi.edu/record/1476047},
      doi = {https://doi.org/10.1007/978-981-99-4850-5},
}