A multi-fault diagnostic method based on acceleration signal for a hydraulic axial piston pump

Casoli, Paolo; Pastori, Mirko; Scolari, Fabio

doi:10.1063/1.5138770

Cited by 5 publications

(2 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Among them are (Casoli, Pastori, & Scolari, 2019), who present a diagnostic approach based on time and frequency features in combination with neural networks and support vector machines (SVM) for the fault types abrasion on valve plate, cavitation erosion, slipper wear and cylinder wear. Further, a multi-layered diagnostic approach is presented by (Du, Wang, & Zhang, 2013).…”

Section: Literature Reviewmentioning

confidence: 99%

Predictive Diagnosis in Axial Piston Pumps

Gnepper

Hitzer²,

Enge-Rosenblatt³

2023

IJPHM

View full text Add to dashboard Cite

Increasing reliability, availability and safety requirements as well as an increasing amount of data acquisition systems have enabled condition-based maintenance in mobile and industrial machinery. In this paper, we present a methodology to develop a robust diagnostic approach. This includes the consideration of variable operating conditions in the data acquisition process as well as a versatile, non domain-specific feature extraction technique. By doing so, we train anomaly detection models for different fault types and different fault intensities in variable displacement axial piston pumps. Our specific interest points to the investigation of high-frequency condition indicators with a sampling rate of 1 MHz. Furthermore, we compare those to industry standard sensors, sampled with up to 20 kHz.By considering variable operating conditions, we are able to quantify the influence of the operating point. The results show, that high-frequency features are a suitable condition-indicator across several operating points and can be used to detect faults more easily. Although set up on a test-bench, the experimental design allows to draw conclusions about realistic field operational conditions.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Predictive Diagnosis in Axial Piston Pumps

Gnepper

Hitzer²,

Enge-Rosenblatt³

2023

IJPHM

View full text Add to dashboard Cite

show abstract

“…As a further step, the simulations have been carried out considering the phenomenon of gaseous cavitation. In hydraulic applications, some operating conditions able to onset local cavitating phenomena could occur, with serious consequences on the operation of the machines [9][10][11][12][13]. The cavitation represents a negative aspect even in the presence of a textured surface, since it modifies the coupling performance, and in some cases, it could lead to unwanted and counterproductive effects.…”

Section: Introductionmentioning

confidence: 99%

CFD Analyses of Textured Surfaces for Tribological Improvements in Hydraulic Pumps

et al. 2020

Self Cite

View full text Add to dashboard Cite

In any hydraulic machine there are lubricated couplings that could become critical beyond certain operating conditions. This paper presents the simulation results concerning textured surfaces with the aim of improving the performance of lubricated couplings in relative motion. The texturing design requires much care to obtain good improvements, and it is essential to analyze both the geometric features of the dimples and the characteristics of the coupled surfaces, like the sliding velocity and gap height. For this purpose, several CFD simulations have been performed to study the behavior of the fluid bounded in the coupling, considering dimples with different shapes, size, and spatial distribution. The simulations consider the onset of gaseous cavitation to evaluate the influence of this phenomenon on the pressure distribution generated by the textured surface. The analyses have pointed out that it is critical to correctly predict the behavior of the textured surface in the presence of local cavitation, in fact, when cavitation occurs, the characteristic time of the transient in which the phase of the fluid change is very rapid and it is comparable to the time taken by the fluid to move from one dimple to the next.

show abstract