Abstract
Traditional industry is shifting towards the ‘industry 4.0 factory’ that incorporates automatic fault detection and correction. Industry 4.0 also includes online condition monitoring to make mainte...
Highlights
The world needs smart factories, which are popularly referred to as ‘industry 4.0’
Shaft misalignment and cracks are common faults, and they must be diagnosed before failure occurs
Order analysis is presented for the detection of misaligned and cracked shafts by performing a detailed and systematic experimentation on a simple rotor-bearing system
Summary
The world needs smart factories, which are popularly referred to as ‘industry 4.0’. The vision is to make a complete automatic system that can diagnose faults within itself and predict its own remaining useful life. The DFT has N 2 complex operation, and it takes much more time to solve but the FFT has only Nlog10N complex operations that improve processing speed.[28] This MFS was used to detect parallel and angular misalignment with rigid coupling for 20 and 3 Hz rotational speed by analysing the spectra of vibrations and PSS.[22] The vibration spectrum analysis showed different behaviour of the two types of crack, and it found early detection threshold for both the cracks.[26] The experiments were performed on MFS for angular and parallel misalignments and breathing crack by obtaining vibration data on different speeds to study sensitive location for transducer.[27] In this research, both experiments A and B have been performed to obtain vibration spectra of misaligned shaft for different operational conditions. This machine is within tolerable limits and can be used for experimentation
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