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  • 1
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    Analysis and modification of a single-mesh gear fatigue rig for use in diagnostic studies (1992)
    In:  CASI
    Details
    Publication Date: 2019-06-28
    Description: A single-mesh gear fatigue rig was analyzed and modified for use in gear mesh diagnostic research. The fatigue rig allowed unwanted vibration to mask the test-gear vibration signal, making it difficult to perform diagnostic studies. Several possible sources and factors contributing to the unwanted components of the vibration signal were investigated. Sensor mounting location was found to have a major effect on the content of the vibration signal. In the presence of unwanted vibration sources, modal amplification made unwanted components strong. A sensor location was found that provided a flatter frequency response. This resulted in a more useful vibration signal. A major network was performed on the fatigue rig to reduce the influence of the most probable sources of the noise in the vibration signal. The slave gears were machined to reduce weight and increase tooth loading. The housing and the shafts were modified to reduce imbalance, looseness, and misalignment in the rotating components. These changes resulted in an improved vibration signal, with the test-gear mesh frequency now the dominant component in the signal. Also, with the unwanted sources eliminated, the sensor mounting location giving the most robust representation of the test-gear meshing energy was found to be at a point close to the test gears in the load zone of the bearings.
    Keywords: MECHANICAL ENGINEERING
    Type: NASA-TM-105416 , E-6826 , NAS 1.15:105416 , AVSCOM-TR-91-C-049 , AD-A252381
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 2
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    Development of a full-scale transmission testing procedure to evaluate advanced lubricants (1992)
    In:  CASI
    Details
    Publication Date: 2019-06-28
    Description: Experimental tests were performed on the OH-58A helicopter main rotor transmission in the NASA Lewis 500-hp Helicopter Transmission Test Stand. The testing was part of a joint Navy/NASA/Army lubrication program. The objective of the program was to develop a separate lubricant for gearboxes and demonstrate an improved performance in life and load-carrying capacity. The goal of the experiments was to develop a testing procedure to fail certain transmission components using a MIL-L-23699 base reference oil, then run identical tests with improved lubricants and demonstrate performance. The tests were directed at failing components that the Navy has had problems with due to marginal lubrication. These failures included mast shaft bearing micropitting, sun gear and planet bearing fatigue, and spiral bevel gear scoring. A variety of tests were performed and over 900 hours of total run time accumulated for these tests. Some success was achieved in developing a testing procedure to produce sun gear and planet bearing fatigue failures. Only marginal success was achieved in producing mast shaft bearing micropitting and spiral bevel gear scoring.
    Keywords: MECHANICAL ENGINEERING
    Type: NASA-TP-3265 , E-6531 , NAS 1.60:3265 , AVSCOM-TR-91-C-026 , AD-A257204
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    NASA TECHNICAL REPORTS
  • 3
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    Detecting gear tooth fracture in a high contact ratio face gear mesh (1995)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: This paper summarized the results of a study in which three different vibration diagnostic methods were used to detect gear tooth fracture in a high contact ratio face gear mesh. The NASA spiral bevel gear fatigue test rig was used to produce unseeded fault, natural failures of four face gear specimens. During the fatigue tests, which were run to determine load capacity and primary failure mechanisms for face gears, vibration signals were monitored and recorded for gear diagnostic purposes. Gear tooth bending fatigue and surface pitting were the primary failure modes found in the tests. The damage ranged from partial tooth fracture on a single tooth in one test to heavy wear, severe pitting, and complete tooth fracture of several teeth on another test. Three gear fault detection techniques, FM4, NA4*, and NB4, were applied to the experimental data. These methods use the signal average in both the time and frequency domain. Method NA4* was able to conclusively detect the gear tooth fractures in three out of the four fatigue tests, along with gear tooth surface pitting and heavy wear. For multiple tooth fractures, all of the methods gave a clear indication of the damage. It was also found that due to the high contact ratio of the face gear mesh, single tooth fractures did not significantly affect the vibration signal, making this type of failure difficult to detect.
    Keywords: MECHANICAL ENGINEERING
    Type: NASA-TM-106822 , E-9366 , NAS 1.15:106822 , ARL-TR-600 , Meeting of the Society for Machinery Failure Prevention Technology; Apr 18, 1995 - Apr 20, 1995; Virginia Beach, VA; United States
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  • 4
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    An enhancement to the NA4 gear vibration diagnostic parameter (1994)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: A new vibration diagnostic parameter for health monitoring of gears, NA4*, is proposed and tested. A recently developed gear vibration diagnostic parameter NA4 outperformed other fault detection methods at indicating the start and initial progression of damage. However, in some cases, as the damage progressed, the sensitivity of the NA4 and FM4 parameters tended to decrease and no longer indicated damage. A new parameter, NA4* was developed by enhancing NA4 to improve the trending of the parameter. This allows for the indication of damage both at initiation and also as the damage progresses. The NA4* parameter was verified and compared to the NA4 and FM4 parameters using experimental data from single mesh spur and spiral bevel gear fatigue rigs. The primary failure mode for the test cases was naturally occurring tooth surface pitting. The NA4* parameter is shown to be a more robust indicator of damage.
    Keywords: MECHANICAL ENGINEERING
    Type: AD-A290373 , ARL-TR-389 , E-8708 , NAS 1.15:106553 , NASA-TM-106553 , Annual Meeting; Jun 20, 1994 - Jun 30, 1994; Hershey, PA; United States
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  • 5
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    Application of fault detection techniques to spiral bevel gear fatigue data (1994)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: Results of applying a variety of gear fault detection techniques to experimental data is presented. A spiral bevel gear fatigue rig was used to initiate a naturally occurring fault and propagate the fault to a near catastrophic condition of the test gear pair. The spiral bevel gear fatigue test lasted a total of eighteen hours. At approximately five and a half hours into the test, the rig was stopped to inspect the gears for damage, at which time a small pit was identified on a tooth of the pinion. The test was then stopped an additional seven times throughout the rest of the test in order to observe and document the growth and propagation of the fault. The test was ended when a major portion of a pinion tooth broke off. A personal computer based diagnostic system was developed to obtain vibration data from the test rig, and to perform the on-line gear condition monitoring. A number of gear fault detection techniques, which use the signal average in both the time and frequency domain, were applied to the experimental data. Among the techniques investigated, two of the recently developed methods appeared to be the first to react to the start of tooth damage. These methods continued to react to the damage as the pitted area grew in size to cover approximately 75% of the face width of the pinion tooth. In addition, information gathered from one of the newer methods was found to be a good accumulative damage indicator. An unexpected result of the test showed that although the speed of the rig was held to within a band of six percent of the nominal speed, and the load within eighteen percent of nominal, the resulting speed and load variations substantially affected the performance of all of the gear fault detection techniques investigated.
    Keywords: MECHANICAL ENGINEERING
    Type: AD-A289970 , ARL-TR-345 , E-8333 , NAS 1.15:106467 , NASA-TM-106467 , Mechanical Failures Prevention Group Meeting; Apr 19, 1994 - Apr 21, 1994; Wakefield, MA; United States
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  • 6
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    Transmission Bearing Damage Detection Using Decision Fusion Analysis (2004)
    In:  CASI
    Details
    Publication Date: 2019-07-10
    Description: A diagnostic tool was developed for detecting fatigue damage to rolling element bearings in an OH-58 main rotor transmission. Two different monitoring technologies, oil debris analysis and vibration, were integrated using data fusion into a health monitoring system for detecting bearing surface fatigue pitting damage. This integrated system showed improved detection and decision-making capabilities as compared to using individual monitoring technologies. This diagnostic tool was evaluated by collecting vibration and oil debris data from tests performed in the NASA Glenn 500 hp Helicopter Transmission Test Stand. Data was collected during experiments performed in this test rig when two unanticipated bearing failures occurred. Results show that combining the vibration and oil debris measurement technologies improves the detection of pitting damage on spiral bevel gears duplex ball bearings and spiral bevel pinion triplex ball bearings in a main rotor transmission.
    Keywords: Aeronautics (General)
    Type: NASA/TM-2004-213382 , ARL-TR-3328 , E-14890
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  • 7
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    Effects on Diagnostic Parameters After Removing Additional Synchronous Gear Meshes (2003)
    In:  CASI
    Details
    Publication Date: 2019-08-13
    Description: Gear cracks are typically difficult to diagnose with sufficient time before catastrophic damage occurs. Significant damage must be present before algorithms appear to be able to detect the damage. Frequently there are multiple gear meshes on a single shaft. Since they are all synchronous with the shaft frequency, the commonly used synchronous averaging technique is ineffective in removing other gear mesh effects. Carefully applying a filter to these extraneous gear mesh frequencies can reduce the overall vibration signal and increase the accuracy of commonly used vibration metrics. The vibration signals from three seeded fault tests were analyzed using this filtering procedure. Both the filtered and unfiltered vibration signals were then analyzed using commonly used fault detection metrics and compared. The tests were conducted on aerospace quality spur gears in a test rig. The tests were conducted at speeds ranging from 2500 to 5000 revolutions per minute and torques from 184 to 228 percent of design load. The inability to detect these cracks with high confidence results from the high loading which is causing fast fracture as opposed to stable crack growth. The results indicate that these techniques do not currently produce an indication of damage that significantly exceeds experimental scatter.
    Keywords: Mechanical Engineering
    Type: NASA/TM-2003-212312 , NAS 1.15:212312 , E-13899 , ARL-TR-2933 , 57th Meeting of the Society for Machinery Failure Prevention Technology (MFPT); Apr 14, 2003 - Apr 18, 2003; Virginia Beach, VA; United States
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  • 8
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    Investigation of Gear and Bearing Fatigue Damage Using Debris Particle Distributions (2004)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: A diagnostic tool was developed for detecting fatigue damage to spur gears, spiral bevel gears, and rolling element bearings. This diagnostic tool was developed and evaluated experimentally by collecting oil debris data from fatigue tests performed in the NASA Glenn Spur Gear Fatigue Rig, Spiral Bevel Gear Test Facility, and the 500hp Helicopter Transmission Test Stand. During each test, data from an online, in-line, inductance type oil debris sensor was monitored and recorded for the occurrence of pitting damage. Results indicate oil debris alone cannot discriminate between bearing and gear fatigue damage.
    Keywords: Structural Mechanics
    Type: NASA/TM-2004-212883 , ARL-TR-3133 , E-14297 , 60th Annual Forum and Technology Display; Jun 07, 2004 - Jun 10, 2004; Baltimore, MD; United States
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  • 9
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    Spiral Bevel Pinion Crack Detection in a Helicopter Gearbox (2003)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: The vibration resulting from a cracked spiral bevel pinion was recorded and analyzed using existing Health and Usage Monitoring System (HUMS) techniques. A tooth on the input pinion to a Bell OH-58 main rotor gearbox was notched and run for an extended period at severe over-torque condition to facilitate a tooth fracture. Thirteen vibration-based diagnostic metrics were calculated throughout the run. After 101.41 hours of run time, some of the metrics indicated damage. At that point a visual inspection did not reveal any damage. The pinion was then run for another 12 minutes until a proximity probe indicated that a tooth had fractured. This paper discusses the damage detection effectiveness of the different metrics and a comparison of effects of the different accelerometer locations.
    Keywords: Mechanical Engineering
    Type: NASA/TM-2003-212327 , ARL-TR-2958 , NAS 1.15:212327 , E-13922 , 59th Annual Forum and Technology Display; May 06, 2003 - May 08, 2003; Phoenix, AZ; United States
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  • 10
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    Crack Detection for Aerospace Quality Spur Gears (2002)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: Health and Usage Monitoring System research and development involves analysis of the vibration signals produced by a gearbox throughout its life. There are two major advantages of knowing the actual lifetime of a gearbox component: safety and cost. In this report, a technique is proposed to help extract the critical data and present it in a manner that can be easy to understand. The key feature of the technique is to make it independent of speed, torque and prior history for localized, single tooth damage such as gear cracks. This extraction technique is demonstrated on two sets of digitized vibration data from cracked spur gears. Standard vibration diagnostic parameters are calculated and presented for comparison. Several new detection algorithms are also presented. The results of this study indicate that crack detection methods examined are not robust or repeatable. The proposed techniques provide a limited improvement to existing diagnostic parameters. Current techniques show that the cracks progressed at a much faster rate than anticipated which reduced available time for detection.
    Keywords: Mechanical Engineering
    Type: NASA/TM-2002-211492 , NAS 1.15:211492 , E-13260 , ARL-TR-2682 , International 58th Annual Forum and Technology Display; Jun 11, 2002 - Jun 13, 2002; Montreal, Quebec; Canada
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