NTN Co., Ltd. (hereinafter referred to as NTN) has developed a new technology that can detect the service life of bearings with high accuracy by combining multiple AIs. This technology can more accurately predict the service life of bearings from spalling to complete failure. The research and development of this technology will help improve the efficiency of maintenance plans for machinery and equipment, thereby saving costs and improving production efficiency.

During long-term use, the bearings within the machine may experience slight peeling. If this peeling occurs in an area that is inconvenient for repair, the machine may continue to operate without affecting normal operation. Although the condition of the bearing can be known through vibration data detection, it is difficult to accurately predict how long the bearing can be used after spalling. Usually, you either choose to replace the bearing as soon as possible or wait until the bearing is completely damaged before replacing it. Additionally, some skilled mechanics can tell when to replace bearings based on years of experience. However, with the development of labor saving and automation, in order to reduce the downtime of machinery and equipment and reduce maintenance costs, there is an increasing demand for high-precision life detection technology to more accurately detect the replacement period of bearings.

The service life detection technology recently developed by NTN combines deep learning and Bayesian learning to predict the service life of bearings from spalling to breakage with high accuracy. Among the many AI models, NTN chose a convolutional neural network that specializes in image processing. By converting the vibration data of the bearing into image data, it can detect the damage status and life of the bearing. In addition, taking into account individual differences in bearing damage and errors in detection data, NTN also uses Bayesian linear regression to establish a more reliable prediction model. Taken together, NTN's new technology improves detection accuracy by 30% compared to traditional methods (compared to NTN's traditional detection methods).

NTN and the National University Corporation of Japan, Osaka University Graduate School of Engineering, jointly established the "NTN Next Generation Collaboration Research Institute" in 2017. Within the framework of this institute, NTN has conducted in-depth cooperation with the research team of Associate Professor Kenichi Fukui (Industrial Science Institute) of Osaka University for joint research and development. This innovative technology was successfully realized by combining NTN's extensive experience in bearing technology with Osaka University's achievements in advanced AI research.

NTN is committed to applying this technology to actual maintenance services. Through timely maintenance of machinery and equipment, the bearings can be kept in the best condition, thereby improving production efficiency and reducing environmental emissions.
In the future, NTN will continue to conduct experiments to verify the feasibility of this technology to realize its practical use and provide high-quality after-sales services.
We(SUN RISES GROUP LIMITED) are a very big supplier of NTN bearing in HONGKONG,CHINA. Part Of Stocklist For Your More Choice.
| Bearing No. | Size(mm) | Mass(kgs) |
| 5S-BNT900 | 10x20x6 | 0.009 |
| 5S-BNT901 | 12x24x6 | 0.01 |
| 5S-BNT902 | 15x28x7 | 0.014 |
| 5S-BNT903 | 17x30x7 | 0.015 |
| 5S-BNT904 | 20x37x9 | 0.033 |
| 5S-BNT905 | 25x42x9 | 0.039 |
| 5S-BNT906 | 30x47x9 | 0.044 |
| 5S-BNT907 | 35x55x10 | 0.063 |
| 5S-BNT908 | 40x62x12 | 0.1 |
| 5S-BNT909 | 45x68x12 | 0.11 |
| 5S-BNT910 | 50x72x12 | 0.11 |
| 5S-BNT911 | 55x80x13 | 0.16 |
| 5S-BNT912 | 60x85x13 | 0.17 |
| 5S-BNT913 | 65x90x13 | 0.19 |
| 5S-BNT000 | 10x26x8 | 0.013 |
| 5S-BNT001 | 12x28x8 | 0.018 |
| 5S-BNT002 | 15x32x9 | 0.026 |
| 5S-BNT003 | 17x35x10 | 0.029 |
| 5S-BNT004 | 20x42x12 | 0.05 |
| 5S-BNT005 | 25x47x12 | 0.06 |
| 5S-BNT006 | 30x55x13 | 0.1 |
| 5S-BNT007 | 35x62x14 | 0.13 |
| 5S-BNT008 | 40x68x15 | 0.16 |
| 5S-BNT009 | 45x75x16 | 0.21 |
| 5S-BNT010 | 50x80x16 | 0.24 |
| 5S-BNT011 | 55x90x18 | 0.35 |
| 5S-BNT012 | 60x95x18 | 0.36 |
| 5S-BNT013 | 65x100x18 | 0.37 |
| 5S-BNT014 | 70x110x20 | 0.5 |
| MUB 7307 UBM | 35x80x26 | 0.692 |
| UCFC213D1 | 65x205x69.7 | 5.88 |
| UCFH205D1 | 25x68x27x116 | 0.7 |
| 81111 | 55x78x16 | 0.26 |
| 413128 | 140x225x68 | 9.18 |
| SL04-5013NR | 65x100x46 | 1.325 |
| SL04-5026NR | 130x200x95 | 10.6 |
| SL04-5032NR | 160x240x109 | 16.8 |
| 7915 | 75x105x16 | 0.36 |
| 6834 | 170x215x22 | 1.63 |
| 6838 | 190x240x24 | 2.62 |
| HMK1512 | 15x22x12 | 0.013 |
| IR200X220X50 | 200x220x50 | 2.49 |
| KR 19 LL | M8*1.25x19x32 | 0.031 |
| MU1310TM | 50x110x27 | 1.289 |
| 2916 | 80x110x22 | 0.591 |
| 7911 | 55x80x13 | 0.214 |
| MUS1307TM | 30x80x21 | 0.572 |
| N414 | 70x180x42 | 5.15 |
| MR1309EL | 45x100x25 | 1.06 |
| S-UCP208D1 | 40x184x49.2x54 | 2.1 |
| UCFL208D1 | 40x175x100x49.2 | 0.685 |
| SL04-5008NR | 40x68x38 | 0.563 |
| SL04-5009NR | 45x75x40 | 0.697 |
| UCFC207D1 | 35x135x44.4 | 1.668 |
| UKP218;H2318X | 80x327x200x88 | 13 |
| UCHP205D1 | 25x142x114x50 | 1.2 |
| UCHB208D1 | 40x96x121x49.2 | 1.3 |
| C-UKP326D1 | 115x600x375x140 | 86 |
| C-UKP320D1 | 90x490x283x120 | 40 |
| CM-UCP214D1 | 70x266x162x72 | 21 |
| CM-UKP213D1 | 60x265x155x70 | 7.6 |
| SZ318 | 90x400x230x160 | 21 |
| C-UKP318D1 | 80x430x246x110 | 28 |
