Industrial Engineering & Management

ISSN: 2169-0316

Open Access

Nagdev Amruthnath

Industrial and Entrepreneurial Engineering,
Kalamazoo, MI, 49008

  • Research Article
    Factor Analysis in Fault Diagnostics Using Random Forest
    Author(s): Nagdev Amruthnath and Tarun GuptaNagdev Amruthnath and Tarun Gupta

    Factor analysis or sometimes referred to as variable analysis has been extensively used in classification problems for identifying specific factors that are significant to particular classes. This type of analysis has been widely used in application such as customer segmentation, medical research, network traffic, image, and video classification. Today, factor analysis is prominently being used in fault diagnosis of machines to identify the significant factors and to study the root cause of a specific machine fault. The advantage of performing factor analysis in machine maintenance is to perform prescriptive analysis (helps answer what actions to take?) and preemptive analysis (helps answer how to eliminate the failure mode?). In this paper, a real case of an industrial rotating machine was considered where vibration and ambient temperature data was collected for monitoring the health.. Read More»

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