Wireless Application for Reliability based on Neural Network

Predictive maintenance objective is to understand the right time to do maintenance, avoiding failures (reactive maintenance approach) or unnecessary maintenance (preventive maintenance approach).

Deviations from healthy conditions can then be determined in working conditions, using input data to estimate expected indicators levels (plant model) and then comparing them with actual indicators intensities. The approach can be extended to estimate the remaining useful life.

  • Avoid catastrophic failures and their consequential costs and risks
  • Minimize machinery overhaul reducing costs
  • Eliminate unnecessary interventions on properly functioning machinery.
  • Reduce intervention time discovering in advance an incipient failure
  • Allow a better diagnosis on the causes of a failure, that in case of catastrophic failure are hard to be reconstructed


Key Features

  • Inputs Collection in buffers for the analysis
  • Mean values for Low-Frequency inputs
  • Spectral analysis for dedicated High-Frequency inputs
  • Neural Networks estimation to predict the “Healthy” Value
  • Error Index between actual and predicted values
  • Warning Flags (can be sent to external devices or cloud)
  • Unlimited acquisition on host PC of high frequency data for off-line analysis (User interface for data monitoring)
  • Chart with selectable parameters trend and statistical analysis
  • 32 GB on-board storage
  • Worldwide connection availability



  • Working Point Variables
  • Monitoring Variables
  • Data Sources Definition
  • Sampling
  • Analysis Buffer


  • Baseline definition of the heathy condition of the monitored system
  • Tolerances Learning
  • Offline on recorded data or Online


  • Monitoring Variables Visualization and logging
  • Compare with the baseline condition
  • Warning Logic & Communication


  • Data Analysis
  • Post Fault Analysis
  • Incipient problems identification
  • Monitoring configuration modification

TELL us about your project

Alma Automotive s.r.l.

Via Terracini 2/c - 40131 Bologna - Italy
Tel. +39.051.9923806 / +39.051.0548470
Fax +39.051.0544839

PEC amministrazione@pec.alma-automotive.it

Our locations

Via Terracini 2 , 40131 Bologna

Via Provinciale Bologna 28/30
40066, Pieve di Cento (BO)


© Copyright 2021 - Alma Automotive s.r.l. - P.IVA e C.F. 02315721205 - Cap. soc. 10.000€ - Privacy Policy - GDPR - Credits

Gli aiuti di Stato e gli aiuti de minimis ricevuti dalla nostra impresa sono contenuti nel Registro nazionale degli aiuti di Stato di cui all’art. 52 della L. 234/2012 e consultabili qui

linkedin facebook pinterest youtube rss twitter instagram facebook-blank rss-blank linkedin-blank pinterest youtube twitter instagram