Automobile Predictive Maintenance Using Deep Learning

Abstract

There are three types of maintenance management policy Run-tofailure (R2F), Preventive Maintenance (PvM) and Predictive Maintenance (PdM). In both R2F and PdM we have the data related to the maintenance cycle. In case of Preventive Maintenance (PvM) complete information about maintenance cycle is not available. Among these three maintenance policies, predictive Maintenance (PdM) is becoming a very important strategy as it can help us to minimize the repair time and the associated cost with it. In this paper we have proposed PdM, which allows the dynamic decision rules for the maintenance management. PdM is achieved by training the machine learning model with the datasets. It also helps in planning of maintenance schedules. We specially focused on two models that are Binary Classification and Recurrent Neural Network. In Binary Classification we classify whether our data belongs to the failure class or the non failure class. In Binary Classification the number of cycles is entered and classification model predicts whether it belongs to the failure/non failure class.

Contribution of artificial intelligence to industrial maintenance in the field of mechanics

“…see Figure 13. An expert system [23] is software that reproduces the behavior of a human expert performing an intellectual task in a specific domain. It is composed of two independent parts:…”

“…This learning makes it possible to configure the synaptic weights as well as the activation functions to adopt a desired behavior. Two types of learning are used: supervised learning and unsupervised learning [23,27].…”

“…For example, in Ref. [23], a use of a neuro-fuzzy system Recurrent Self-Adaptive Neuro-Fuzzy Inference System (R-SANFIS) for controlling an autonomous underwater vehicle. Another use of neuro-fuzzy networks is presented in Refs.…”

“…Another use of neuro-fuzzy networks is presented in Refs. [23,27], where the NEuro Fuzzy function apPROXimator (NEFPROX) architecture is used for function approximation.…”

“…The Internet of Things [23] plays a crucial role in enabling the networking of sensors, machines, and installations and the transparent transmission of data to central platforms [12,18,36,37] and processing of data or cloud-based systems is thus guaranteed (see Figure 18). The Internet of Things (IoT) is radically transforming the way businesses approach managing their data and IT systems.…”