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Thank-you for choosing Jacks Transmissions for your transmission rebuild! We take great care to assure proper operation of the unit before it leaves our facility. We pride ourselves in our ability to modify the synchro slider timing to allow for the fastest and most accurate synchronization possible. In other words, your transmission should shift better than any other unit you have felt before! Though there is a huge amount of time spent on your transmission to assure superior synchro operation, this does not mean they can never be damaged or feel notchy if something else is wrong. The #1 reason for transmission synchro failure is due to clutch issues. Please read below for tips on how to recognize a clutch problem before it ruins your transmission. Becoming aware of clutch problems could save you thousands of dollars in transmission repairs in the future.
Improper clutch adjustment, or dragging clutch assembly, will destroy your new unit. Damaged synchros due to improper clutch engagement will VOID YOUR WARRANTY!! If we receive the unit back damaged due to the clutch, we will know! 95% of all transmission failures are caused by clutch related issues. It is terribly important that the vehicle does not have clutch drag. To test is simple:
For our Mitsubishi transmission rebuilds we recommend factory Mitsubishi transmission gear oil. More info HERE. If available, the EVO MR 6-Speed oil is the best oil to use as it has the perfect blend of friction modifiers to keep the transmission shifting smoothly and prevent gear failure. Gear oil choice is very important and varies based on preloads and synchro blocker ring design, therefore it is strongly recommended that you stick with Mitsubishi fluid for our transmissions. If you are unable to locate Mitsubishi MR 6-speed oil from the Mitsubishi dealer or us, you can use Redline MT90 (higher horsepower or race applications) gear oil. DO NOT use Synchromesh, BG Synchroshift I or II, or Royal Purple. These fluids will destroy synchros and gears and void your warranty!
SyncBackPro, the most powerful Windows backup software and synchronization utility in its class. Version 10 yet again increases the number of cloud services supported, and improves on the existing cloud support.
SyncBackPro, l'utilitaire de sauvegarde et de synchronisation le plus puissant de sa catégorie. La version 10 étend à nouveau le nombre de services cloud pris en charge et améliore la prise en charge de ceux-ci.
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In this study, a time-frequency method based on high-order synchrosqueezing transform and multi-taper empirical wavelet transform is proposed for the fault detection of wind turbine planetary gearboxes under nonstationary conditions. The high-order SST produces a highly concentrated TFR. The signals of a wind turbine exhibit typically time-varying features due to the complex operating conditions, such as speed fluctuation and load variation. The original signal is resampled with the shaft speed to avoid the speed fluctuation and spectrum smearing. Generally, a tachometer is required to obtain the instantaneous speed to sample signals equi-angularly. This requirement is barely satisfied in many applications due to limited space and cost [52]. The instantaneous rotating speed is estimated via the dynamic path optimization ridge detection (DPORD) algorithm [53] based on the TFR. Also, the estimation precision is guaranteed by high-quality time-frequency distribution calculated by the high-order SST. Planetary gearbox signals consist of many complex components. Unwanted gear (sun, planet, and ring) and/or bearing components may exist and easily mislead the fault diagnosis [54]. Multi-taper empirical wavelet transform (MTEWT) is employed to separate the fault features of the planetary gearbox from other irrelevant components. The multi-tapering approach can reduce the variance and improve the accuracy of the power spectrum estimation. A signal is decomposed into a set of principal modes by an adaptive filter bank constructed by the MTEWT. Both simulated and experimental vibration signals have verified the performance of the proposed method on fault diagnosis for planetary gearbox of wind turbines under nonstationary conditions.
Secondly, the IF is estimated via the DPORD method based on the calculated TFR. Thirdly, the original signal is resampled synchronous to the estimated IF. The resampled signal and its order spectrum are shown in Figure 11a,b. However, the order spectrum fails to provide sufficient information about the sun gear crack fault.
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