基于MATLAB的高速旋转机械故障诊断

Q3 Engineering

Diagnostyka Pub Date : 2023-04-24 DOI:10.29354/diag/162971

Mahesh Joshi, K. Pujar

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引用次数: 1

摘要

工业高速旋转机器需要持续和一致的监控，以防止停机，影响数量和质量。复杂的机器需要显示最小错误的高级智能故障诊断。这项工作为制糖工业机器提供了一个基于MATLAB的故障诊断。获得了物理工业机器的振动行为，并将信号提供给MATLAB程序以识别故障。这些信息有助于建议维修计划中应包含的补救措施。该方法的简单性和可理解性减少了工业机器状态监测的时间并提高了其可靠性。

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Fault diagnosis of high-speed rotating machines using MATLAB

Industrial high-speed rotating machines entail constant and consistent monitoring to prevent downtime, affecting quantity and quality. Complex machines need advanced intelligent fault diagnosis showing minimal errors. This work offers a MATLAB-based fault diagnosis for sugar industry machines. The vibration behavior of physical industrial machines is obtained, and the signals are provided to a MATLAB program to identify the fault. The information helps to suggest remedies to include in the maintenance schedule. The ease and comprehensible nature of the method reduce time and enhance the reliability of condition monitoring for industrial machines.

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来源期刊

Diagnostyka Engineering-Mechanical Engineering

CiteScore

2.20

自引率

0.00%

发文量

期刊介绍： Diagnostyka – is a quarterly published by the Polish Society of Technical Diagnostics (PSTD). The journal “Diagnostyka” was established by the decision of the Presidium of Main Board of the Polish Society of Technical Diagnostics on August, 21st 2000 and replaced published since 1990 reference book of the PSTD named “Diagnosta”. In the years 2000-2003 there were issued annually two numbers of the journal, since 2004 “Diagnostyka” is issued as a quarterly. Research areas covered include: -theory of the technical diagnostics, -experimental diagnostic research of processes, objects and systems, -analytical, symptom and simulation models of technical objects, -algorithms, methods and devices for diagnosing, prognosis and genesis of condition of technical objects, -methods for detection, localization and identification of damages of technical objects, -artificial intelligence in diagnostics, neural nets, fuzzy systems, genetic algorithms, expert systems, -application of technical diagnostics, -diagnostic issues in mechanical and civil engineering, -medical and biological diagnostics with signal processing application, -structural health monitoring, -machines, -noise and vibration, -analysis of technical and civil systems.