scholarly journals Improved Jet Engine Maintenance Through Automated Vibration Diagnostic Systems

1981 ◽  
Author(s):  
R. A. Rio
Keyword(s):  
High Speed ◽  
Diagnostic System ◽  
High Volume ◽  
Test Equipment ◽  
Jet Engines ◽  
Diagnostic Systems ◽  
Vibration Data ◽  
Air Force Base ◽  
Equipment Utilization ◽  
Engine Maintenance

The rapidly increasing cost of maintenance, the demand for increased equipment utilization, fuel costs, and the difficulty of correctly diagnosing internal mechanical problems in fully assembled jet engines, have stressed the need for more effective engine test equipment. This paper describes the successful application of both a component (module) high-speed balancing technique and an Automated Vibration Diagnostic System (AVID) in the U.S. Air Force’s high-volume engine overhaul center at Tinker Air Force Base, Oklahoma. the AVID concept to automate troubleshooting procedures for fully assembled rebuilt engines is addressed. This system extracts high frequency vibration data from existing standard instrumentation, thereby providing meaningful mechanical information. A growing appreciation on the part of engine overhaul personnel of the power of automated test equipment has enabled these key features to be combined to reduce operating expenses at engine rebuild facilities.

scholarly journals An algorithm for precise localization of measurements in rolling stock-based diagnostic systems

2020 ◽  
pp. 095440972096579
Author(s):  
M Carnevale ◽  
I La Paglia ◽  
P Pennacchi
Keyword(s):  
High Speed ◽  
Diagnostic System ◽  
Rolling Stock ◽  
Diagnostic Systems ◽  
Digital Maps ◽  
Railway Line ◽  
Good Repeatability ◽  
Diagnostic Applications ◽  
Matched Data ◽  
Double Track

The paper describes the development and the validation of an algorithm for the geo-localization of trains, specifically designed for diagnostic applications of rolling stock and infrastructure. The algorithm exploits two signals commonly available on commercial trains, namely odometry and GPS, combined to overcome the drawbacks they both show when adopted individually. The algorithm’s flow consists of a map matching procedure for the projection of GPS acquisitions on digital maps of the railway line, followed by a robust fit to correlate the map-matched data to the odometry data. The system is specifically conceived to be adopted in rolling-stock based diagnostic system, to correlate the diagnostic indices to the actual position where they are gathered along the line. It is specifically designed to operate on double-track railways, even if its adoption in multi-track scenario typical of commuter rail would be possible by means of further integration with balise signals or other train control data. Results from track tests on a high-speed train with instrumented pantographs and bogies show that the developed algorithm allows to obtain a good repeatability of diagnostic indicators collected during repeated runs of the train along the same track. This result set the basis for the automation of data analysis in a wayside server, and for the computerization of the comparison of data belonging to homogeneous track sections, so as to perform a trend analysis.

scholarly journals Automated Diagnostic System for Engine Maintenance

1983 ◽  
Author(s):  
Frank Fanuele ◽  
Richard A. Rio
Keyword(s):  
Gas Turbine ◽  
Air Force ◽  
Gas Turbines ◽  
Diagnostic System ◽  
Turbine Engines ◽  
Gas Turbine Engines ◽  
Data Set ◽  
Jet Engine ◽  
Vibration Data ◽  
Engine Maintenance

The rapidly increasing costs of maintenance, the demand for increased equipment utilization, fuel costs and the difficulty of correctly diagnosing internal mechanical problems in operating gas turbine engines has stressed the requirement for more effective monitoring and diagnostic equipment. Such equipment must be capable of performing three functions: 1. Acquiring condition data from operating gas turbines, 2. Analyzing the acquired data, and 3. Associating the cause and effect relationship to an incipient malfunction. This paper describes the MTI Automated Vibration Diagnostic System (AVID) developed for the U. S. Air Force jet engine overhaul centers. The AVID concept is to automate troubleshooting procedures for fully assembled gas turbine engines. The System extracts high-frequency vibration data from existing, standard instrumentation to provide input to a specialized Symptom/Fault Matrix. This Symptom/Fault Matrix is configured to analyze the incoming data and assign a particular malfunction (or malfunctions) to a specified data set. This diagnosis is then printed out to provide maintenance personnel with exact knowledge of what the problem is and how to correct it. This System, plus the growing awareness on the part of personnel of the capabilities of such automated equipment, will enable the Air Force to significantly reduce expenses at their jet engine overhaul facilities.

scholarly journals Study on the High-Speed Milling Performance of High-Volume Fraction SiCp/Al Composites

Materials ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4143
Author(s):  
Youzheng Cui ◽  
Shenrou Gao ◽  
Fengjuan Wang ◽  
Qingming Hu ◽  
Cheng Xu ◽  
...  
Keyword(s):  
High Speed ◽  
Large Scale ◽  
Volume Fraction ◽  
Simulation Analysis ◽  
Cutting Temperature ◽  
High Volume ◽  
Cutting Parameters ◽  
High Volume Fraction ◽  
High Wear Resistance ◽  
Element Analysis

Compared with other materials, high-volume fraction aluminum-based silicon carbide composites (hereinafter referred to as SiCp/Al) have many advantages, including high strength, small change in the expansion coefficient due to temperature, high wear resistance, high corrosion resistance, high fatigue resistance, low density, good dimensional stability, and thermal conductivity. SiCp/Al composites have been widely used in aerospace, ordnance, transportation service, precision instruments, and in many other fields. In this study, the ABAQUS/explicit large-scale finite element analysis platform was used to simulate the milling process of SiCp/Al composites. By changing the parameters of the tool angle, milling depth, and milling speed, the influence of these parameters on the cutting force, cutting temperature, cutting stress, and cutting chips was studied. Optimization of the parameters was based on the above change rules to obtain the best processing combination of parameters. Then, the causes of surface machining defects, such as deep pits, shallow pits, and bulges, were simulated and discussed. Finally, the best cutting parameters obtained through simulation analysis was the tool rake angle γ0 = 5°, tool clearance angle α0 = 5°, corner radius r = 0.4 mm, milling depth ap = 50 mm, and milling speed vc= 300 m/min. The optimal combination of milling parameters provides a theoretical basis for subsequent cutting.

Research on Internet-Based Reconfigurable Distance Mechanical System Fault Diagnosis

2011 ◽  
Vol 52-54 ◽  
pp. 109-114
Author(s):  
Yun Jie Xu
Keyword(s):  
Fault Diagnosis ◽  
Mechanical System ◽  
High Speed ◽  
Structural Model ◽  
Component Technology ◽  
The Internet ◽  
Diagnostic Systems ◽  
Diagnosis System ◽  
J2ee Framework ◽  
Fault Diagnosis System

In order to meet requirements of increasingly high-speed, large and intelligent mechanical equipments on fault diagnosis, the Internet-based reconfigurable mechanical system fault diagnosis program was presented. The overall structure and networking schema of distance mechanical fault diagnosis system were analyzed, and the distance fault diagnosis network model based on J2EE framework was also described. The structural model and reconfigurable manner of the reconfigurable distance diagnosis system was provided, which used CORBA component technology to achieve reconfiguration. The detail steps of system that take some type of diesel engine as diagnosis object was described, and the intelligent diagnosing methods were also researched. The Internet-based fault diagnosis technology effectively improves the efficiency and accuracy of diagnostic systems.

Schizophrenia: comparison of 13 diagnostic systems in a cross-sectional study1

1993 ◽  
Vol 8 (1) ◽  
pp. 7-13 ◽  
Author(s):  
S Dollfus ◽  
M Petit ◽  
JF Menard ◽  
P Lesieur
Keyword(s):  
Diagnostic System ◽  
Cross Sectional Study ◽  
Diagnostic Systems ◽  
Cross Sectional ◽  
Significant Relationships ◽  
Residual Phase ◽  
Acute Group ◽  
Basic Language ◽  
Processing Program ◽  
Operational Systems

SummaryThe concordance and degree of overlap between 13 diagnostic systems for schizophrenia, including the five European systems of Berner, Bleuler, Langfeldt, Pull and Schneider, were evaluated in a cross-sectional study (N = 51) taking the phase of illness (acute or residual) into account. The diagnostic assessments were processed by computer using a 183-item standardised checklist and a data-processing program in GW-Basic language. The inter-rater reliability, as assessed by Kappa coefficient, was good to excellent for each diagnostic system established by this method (K from 0.5 to 1). When comparing the concordance between pairs of 13 diagnostic systems for schizophrenia in acute and residual phase groups, results showed that only two significant relationships were not influenced by the phase of illness (Carpenter x RDC; Catego x Schneider), while 24 were. These included only two relationships in the acute group (Carpenter Catego; Carpenter Schneider) and 22 links between pairs of systems in the residual group. In the acute group, no diagnosis of schizophrenia, including duration criteria such as those of DSM III-R, Feighner, Langfeldt, Pull and RDC, was linked to other systems. In the residual group, the operational systems such as Catego, DSM III-R, Feighner, Newhaven, Pull and RDC had more than five relationships with the other systems whereas the non-operational systems of Bleuler, ICD9, Langfeldt and Schneider had less than four relationships with the others. Except Pull's criteria, the European diagnostic systems, in particular Berner's and Bleuler's, seemed to differ from the others because of the few relationships displayed. The results underline the importance of taking the phase of illness into account when comparing between studies utilizing different diagnostic systems for schizophrenia. They also show the relationships between European and international diagnostic systems, insufficiently established so far.

scholarly journals On Designing an Expert Diagnostic System of the Aircraft Turbine Engine Functional Units

2020 ◽  
Vol 50 (1) ◽  
pp. 171-192
Author(s):  
Henryk Borowczyk ◽  
Jarosław Spychała
Keyword(s):  
Dynamic Models ◽  
Diagnostic System ◽  
Compact Representation ◽  
Diagnostic Model ◽  
Diagnostic Systems ◽  
Turbine Engine ◽  
Flight Data ◽  
Diagnostic Parameters ◽  
Functional Units ◽  
The Relationship

AbstractThe paper presents issues related to the design of an expert diagnostic system of turbine engine functional units. Dedicated diagnostic stations and on-board flight data recorders are the sources of diagnostic signals. The signals were parameterized or identified dynamic models to get a compact representation in the form of a set of parameters. The set of diagnostic parameters was subjected to integer encoding. On this basis, a multi-valued diagnostic model describing the relationship between the set of faults and the set of symptoms (code values of diagnostic parameters) was determined. The proposed approach can be used in the design of expert diagnostic systems for propulsion units of any aircraft.

scholarly journals The researching of diagnostic’s systems area as the reflection-ontological basis of cognition

2020 ◽  
Vol 19 (7-8) ◽  
pp. 10-14
Author(s):  
Elena N. Pesotskaya ◽  
Vera I. Inchina ◽  
Mikhail V. Zorkin ◽  
Svetlana V. Aksenova
Keyword(s):  
Human Nature ◽  
Social Systems ◽  
Cognitive Model ◽  
Diagnostic System ◽  
Basic Component ◽  
Second Phase ◽  
Diagnostic Systems ◽  
Multi Level ◽  
Nature And Society

The concept of a diagnostic system is defined as a basic component of diagnostics, which is a multivariate knowledge of features of personality reflection. Multi-level of communications in the field of diphase procedural interaction of the formed diagnostic systems is proposed to be practically investigated on the basis of a synergistic cognitive model. In the structure of the diagnostic system itself, the phases of procedural interaction are distinguished, where the first one passes before diagnosis and outside its value-reflexive processes, forming against the background of a specific society and system of its medicine as a whole. The second phase involves the activities of a specific professional. The openness of this integrity stems from the phenomenal characteristics of the nature of social systems, the inclusion of individuals and their synergy. The significance of the parametric aspect of communication in complex intersubjective interactions, including network interactions, which influence the transformation of both human nature and society by the type of mutual determination of any nonlinear actions inherent in them initially, is shown.

scholarly journals Forensic Evaluation of Construction Noise and Vibrations Associated with an Urban Drainage Project

2021 ◽  
Vol 37 (1) ◽  
Author(s):  
Rune Storesund
Keyword(s):  
Data Collection ◽  
Time History ◽  
Ground Vibration ◽  
Forensic Evaluation ◽  
Daily Maximum ◽  
Urban Drainage ◽  
Vibration Data ◽  
Attenuation Relationships ◽  
Adjacent Structures ◽  
Equipment Utilization

This study performed a forensic evaluation of construction noise and ground vibration propagation to surrounding residential and commercial structures as a result of an urban drainage improvement construction project. Noise and vibration data collected during the course of the drainage project was first evaluated for conformance with the project specifications and data collection protocols. Construction equipment utilization logs were used to create a “time history” of daily maximum noise levels, which were contrasted with the maximum allowable per the project specifications. Attenuation relationships were used to delineate ground vibration extents and magnitudes propagating from the source to adjacent receptors (i.e., structures). The forensic engineer (FE) found significant deviations from the required data collection protocols and a high degree of “under-reporting.” Construction-induced noise and ground vibrations were determined to be “substantial factors of harm” to the adjacent structures.

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