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IoT based prognostics using MEMS sensor with single board computers for rotary machines

Vasanth. X. Ajay, Sam Paul P., Shylu D. S., Mano Paul P.

Przegląd Elektrotechniczny

2021

R. 97, nr 11

170--174

In the recent past years prognostics has gained importance in the industry sector as they have reduced maintenance cost and time to a great deal. The term IoT has opened a wide variety of applications with it and there have been very few feeble attempts to integrate it with prognostics. Combining low-cost energy efficient MEMS sensor and IoT in prognostics has been a dream far-fetched by industries. This paper will be attempt where the MEMS sensor will be fused along with IoT in prognostics and the same was used in a rotary machine.

W ostatnich latach prognozy zyskały na znaczeniu w sektorze przemysłowym, ponieważ znacznie zmniejszyły koszty i czas konserwacji. IoT otworzył wiele różnych zastosowań i było bardzo niewiele prób zintegrowania go z prognozami. Połączenie niskokosztowego, energooszczędnego czujnika MEMS i Internetu Rzeczy w prognozach było marzeniem naciąganym przez przemysł. Ten artykuł będzie próbą, w której czujnik MEMS zostanie połączony z Internetem Rzeczy w prognostyce i to samo zostanie użyte w maszynie rotacyjnej.

Estimation of rolling bearing life with damage curve approach

Mehdigholi H., Mirzaei Rafsanjani H., Behzad M.

Polish Maritime Research

2011

nr 3

66-70

The ability to determine the bearing life time is one of the main purposes in maintenance of rotating machineries. Because of reliability, cost and productivity, the bearing life time prognostic is important. In this paper, a stiffness-based prognostic model for bearing systems is discussed. According to presumed model of bearing and fundamental of damage mechanics, damage curve approach is used to relate stiffness of vibratory system and bearing running life. Furthermore, using the relation between acceleration amplitude at natural frequency and stiffness, final relation between acceleration amplitude at natural frequency and running life time according to damage curve approach can be established and the final running time is predicted. Experiments have been performed on self alignment bearing under failures on inner race and outer race to calibrate and to validate the proposed model. The comparison between model-calculated data and experimental results indicates that this model can be used effectively to predict the failure lifetime and the remaining life of a bearing system.

Oceny i prognozowanie jakości maszyn.

Radkiewicz J.M., Komarow J.J., Timiriazew W.A., Ostrowskij M.S.

Technologia i Automatyzacja Montażu

2002

nr 2

10-13