An Enhanced Factor Analysis of Performance Degradation Assessment on Slurry Pump Impellers

Sun, Shilong; Tse, Peter W.; Tse, Yiu Lun

doi:10.1155/2017/1524840

Cited by 8 publications

(6 citation statements)

References 28 publications

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“…When the impellers get enough deterioration, they will stop offering resistance to slurry particles. In this situation, after reaching a particular height, the degradation trend should start to progress in a downward direction [ 9 ]. It can be observed in Figure 4 .…”

Section: Methodology Adopted For Predicting the Rul Of Slurry Pumpsmentioning

confidence: 99%

Development of a Novel Methodology for Remaining Useful Life Prediction of Industrial Slurry Pumps in the Absence of Run to Failure Data

Khan

Tse

Trappey

2021

Sensors

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Smart remaining useful life (RUL) prognosis methods for condition-based maintenance (CBM) of engineering equipment are getting high popularity nowadays. Current RUL prediction models in the literature are developed with an ideal database, i.e., a combination of a huge “run to failure” and “run to prior failure” data. However, in real-world, run to failure data for rotary machines is difficult to exist since periodic maintenance is continuously practiced to the running machines in industry, to save any production downtime. In such a situation, the maintenance staff only have run to prior failure data of an in operation machine for implementing CBM. In this study, a unique strategy for the RUL prediction of two identical and in-process slurry pumps, having only real-time run to prior failure data, is proposed. The obtained vibration signals from slurry pumps were utilized for generating degradation trends while a hybrid nonlinear autoregressive (NAR)-LSTM-BiLSTM model was developed for RUL prediction. The core of the developed strategy was the usage of the NAR prediction results as the “path to be followed” for the designed LSTM-BiLSTM model. The proposed methodology was also applied on publically available NASA’s C-MAPSS dataset for validating its applicability, and in return, satisfactory results were achieved.

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Section: Methodology Adopted For Predicting the Rul Of Slurry Pumpsmentioning

confidence: 99%

Development of a Novel Methodology for Remaining Useful Life Prediction of Industrial Slurry Pumps in the Absence of Run to Failure Data

Khan

Tse

Trappey

2021

Sensors

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“…The condition “completely degraded,” C imp = 0, indicates that the most affected area is completely worn away, that is, a hole appears in the impeller wall. Although it is known that at this point the pressure head or pump efficiency starts to drop substantially, 55 it does not yet imply that the pump stopped working completely.…”

Section: Integrated Life Prediction Modelmentioning

confidence: 97%

Integration of multiple failure mechanisms in a life assessment method for centrifugal pump impellers

Silveira

Meghoe

Tinga

2023

Advances in Mechanical Engineering

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Methods in predictive maintenance are frequently confronted with limited applicability to realistic scenarios. The available approaches are often used for a single design, requiring an entirely new analysis for a slightly different case. A solution for this issue could be using a physical model. However, physical models focus on one unique failure mechanism, while, in a practical application, several mechanisms are typically active at the same instant. This work proposes and demonstrates a new methodology that combines different failure mechanism into an integrated life prediction model. Failure Modes and Effects Analysis is used to identify the different failure mechanisms that occur in a component simultaneously. Physical and empirical models are then analyzed and modified to be implemented in a realistic case of a centrifugal pump impeller applied in a maritime environment. As erosion, cavitation, and corrosion are the main failure mechanisms of an impeller, the combination of them quantifies the degradation increment during different types of pump operation. The proposed methodology is compared with traditional failure rate models and an established cavitation model that uses an aging factor to cover other failure mechanisms. In conclusion, it is demonstrated that the proposed methodology is more sensitive and reliable in describing the degradation process for a wide range of operating conditions, since all the mechanisms are considered.

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“…After the extraction of 18 statistical features from the valid signals, they were reconstructed into a new feature matrix. Further details regarding this transformation can be seen in the previous work by the corresponding authors in [14,16]. The new feature matrix was sent to a designed algorithm that was the combination of principal component analysis and a moving average method.…”

Section: Health Assessment Indicatormentioning

confidence: 99%

A Novel Framework for Online Remaining Useful Life Prediction of an Industrial Slurry Pump

2022

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An efficient Remaining Useful Life (RUL) prediction method is one of the most important features of a condition-based maintenance system. A running machine’s RUL prognosis in its real-time is a challenging task, especially when there is no historic failure data available for that particular machine. In this paper, an online RUL of an in-operation industrial slurry pump having no historical failure data has been predicted. At first, the available raw vibration datasets were filtered out for valid datasets. The obtained valid datasets were utilized for constructing the Health Degradation Trends (HDTs) using principal component analysis and a moving average method. Then, a novel procedure for automatically selecting the HDT’s data points for initiating the iteration process of prediction was formulated. Afterward, a hybrid deep LSTM model embedded with a smart learning rate mechanism was developed for estimating the online RUL using the selected points of HDTs. The online RUL prediction results produced by the developed model were quite satisfactory when they were compared with other online RUL prediction methods.

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An Enhanced Factor Analysis of Performance Degradation Assessment on Slurry Pump Impellers

Cited by 8 publications

References 28 publications

Development of a Novel Methodology for Remaining Useful Life Prediction of Industrial Slurry Pumps in the Absence of Run to Failure Data

Development of a Novel Methodology for Remaining Useful Life Prediction of Industrial Slurry Pumps in the Absence of Run to Failure Data

Integration of multiple failure mechanisms in a life assessment method for centrifugal pump impellers

A Novel Framework for Online Remaining Useful Life Prediction of an Industrial Slurry Pump

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