International Journal of Science and Research (IJSR) , 2020
Across the industries, there is a growing need of increased Operational Reliability, Availability... more Across the industries, there is a growing need of increased Operational Reliability, Availability and Maintainability of the equipment, which comprises of diagnosis and prognosis of a particular problem. As systems are evolving daily to a new level of sophistication, maintenance of those systems needs a critical approach. Hence, more industries are trying to adapt predictive maintenance policies in their critical area of operations. With the advantage of predictive analytics and machine learning techniques, predictive maintenance is gaining its momentum in different industries. In this paper, a framework of predictive reliability modelling has been discussed, which is a part of predictive maintenance. With the help of various machine-learning models, one predictive reliability model has been made. This paper also projects a model to calculate Remaining useful life (RUL) by incorporating Recurrent Neural Network (RNN).
RelWeibullmod1 <-function() { Sm1= readline(prompt="enter the simulation number : ") Sm1 = as.num... more RelWeibullmod1 <-function() { Sm1= readline(prompt="enter the simulation number : ") Sm1 = as.numeric(Sm1) Sm2 = readline(prompt="enter the value beta for subsystem 1: ") Sm2 = as.numeric(Sm2) Sm3 =readline(prompt="enter the value of theta for subsystem 1: ") Sm3 = as.numeric
International Journal of Science and Research (IJSR) , 2020
Across the industries, there is a growing need of increased Operational Reliability, Availability... more Across the industries, there is a growing need of increased Operational Reliability, Availability and Maintainability of the equipment, which comprises of diagnosis and prognosis of a particular problem. As systems are evolving daily to a new level of sophistication, maintenance of those systems needs a critical approach. Hence, more industries are trying to adapt predictive maintenance policies in their critical area of operations. With the advantage of predictive analytics and machine learning techniques, predictive maintenance is gaining its momentum in different industries. In this paper, a framework of predictive reliability modelling has been discussed, which is a part of predictive maintenance. With the help of various machine-learning models, one predictive reliability model has been made. This paper also projects a model to calculate Remaining useful life (RUL) by incorporating Recurrent Neural Network (RNN).
RelWeibullmod1 <-function() { Sm1= readline(prompt="enter the simulation number : ") Sm1 = as.num... more RelWeibullmod1 <-function() { Sm1= readline(prompt="enter the simulation number : ") Sm1 = as.numeric(Sm1) Sm2 = readline(prompt="enter the value beta for subsystem 1: ") Sm2 = as.numeric(Sm2) Sm3 =readline(prompt="enter the value of theta for subsystem 1: ") Sm3 = as.numeric
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Papers by Arnab Naskar