Review on Application of Condition Indicators for Fault Detection in Rolling Machine Elements
By: Tiwari, Rahul
.
Contributor(s): Gakare, Abhishek.
Publisher: Ghazibad MAT Journals 2021Edition: Vol.6(2), May-Aug.Description: 28-48p.Subject(s): Mechanical EngineeringOnline resources: Click here
In:
Journal of thermal energy systemsSummary: Condition monitoring and fault detection of rolling machine elements is considered as a key aspect as it ensures to continuously decrease cost, unplanned downtime and unexpected breakdown. Application of condition indicators is considered as one of the most effective and popular method for the detection of faults in machine elements. Condition indicators play a vital role in fault diagnosis because of their ability to quantify the changes in the vibration signals and thus provide key information about the state of various rolling machinery elements at subsequent levels of a fault i.e. from initial level of a fault to its substantial level. However, the articles quoting condition indicators for the detection of faults in various rolling machinery elements are still less in numbers. So, there is a need of more work on application of condition indicators for fault detection in machine elements. In this paper, various condition indicators are discussed domain-wise along with their mathematical expression & characteristics and then after the various application of the condition indictors to fault diagnosis are also briefed. The goal of the paper is to put forward a comprehensive review on the application of condition indicators for fault detection in machine elements to provide the researchers a good and wide set of references for their future research works. This paper immensely reviews and classifies important papers and articles on conditional indicators on the basis of adopted methodologies. Finally, open problems are stated and future research prospects are also pointed out.
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
Articles Abstract Database
|
School of Engineering & Technology Archieval Section | Not for loan | 2022-0257 |
Condition monitoring and fault detection of rolling machine elements is considered as a key aspect as it ensures to continuously decrease cost, unplanned downtime and unexpected breakdown. Application of condition indicators is considered as one of the most effective and popular method for the detection of faults in machine elements. Condition indicators play a vital role in fault diagnosis because of their ability to quantify the changes in the vibration signals and thus provide key information about the state of various rolling machinery elements at subsequent levels of a fault i.e. from initial level of a fault to its substantial level. However, the articles quoting condition indicators for the detection of faults in various rolling machinery elements are still less in numbers. So, there is a need of more work on application of condition indicators for fault detection in machine elements. In this paper, various condition indicators are discussed domain-wise along with their mathematical expression & characteristics and then after the various application of the condition indictors to fault diagnosis are also briefed. The goal of the paper is to put forward a comprehensive review on the application of condition indicators for fault detection in machine elements to provide the researchers a good and wide set of references for their future research works. This paper immensely reviews and classifies important papers and articles on conditional indicators on the basis of adopted methodologies. Finally, open problems are stated and future research prospects are also pointed out.
Click on an image to view it in the image viewer
There are no comments for this item.