Individual Teeth Research Articles

Type 1 diabetes and oral health: Findings from the Epidemiology of Diabetes Interventions and Complications (EDIC) study

ObjectiveTo describe long-term oral health outcomes and examine associations between sociodemographic factors, clinical characteristics, and markers of diabetes control on tooth loss in participants with type 1 diabetes enrolled in the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) study. Research design and methodsOral health outcomes related to tooth loss were reported at annual visits during EDIC years 22–26 (2015–2019). Generalized estimating equation models were used to assess the association of individual risk factors and tooth loss, over repeated time points. ResultsA total of 165 (17%) participants with type 1 diabetes reported 221 oral health outcomes related to tooth loss over a five-year period. After controlling for age and current tobacco use, the presence of diabetic peripheral neuropathy was significantly associated with an increased odds of tooth loss (OR = 1.88, 95% CI 1.24, 2.87) while higher mean HDL/LDL cholesterol ratio was significantly associated with a decreased odds of tooth loss (OR = 0.87, 95% CI = 0.79, 0.97). ConclusionsThese findings suggest that diabetes-related complications, either resulting from or independent of poor glycemia, may be directly associated with oral health conditions, and support the need for individuals with type 1 diabetes and providers to implement lifestyle and medical interventions to reduce oral health risks.

A Comprehensive Exploration of Neural Networks for Forensic Analysis of Adult Single Tooth X-Ray Images

Determining the demographic characteristics of a person post-mortem is a fundamental task for forensic experts, and the dental system is a crucial source of those information. Those characteristics, namely age and sex, can reliably be determined. The mandible and individual teeth survive even the harshest conditions, making them a prime target for forensic analysis. Current methods in forensic odontology rely on time-consuming manual measurements and reference tables, many of which rely on the correct determination of the tooth type. This study thoroughly explores the applicability of deep learning for sex assessment, age estimation, and tooth type determination from x-ray images of individual teeth. A series of models that use state-of-the-art feature extraction architectures and attention have been trained and evaluated. Their hyperparameters have been explored and optimized using a combination of grid and random search, totaling over a thousand experiments and 14076 hours of GPU compute time. Our dataset contains 86495 individual tooth x-ray image samples, with a subset of 7630 images having additional information about tooth alterations. The best-performing models are fine-tuned, the impact of tooth alterations is analyzed, and model performance is compared to current methods in forensic odontology literature. We achieve an accuracy of 76.41% for sex assessment, a median absolute error of 4.94 years for age estimation, and an accuracy of 87.24% to 99.15% for tooth type determination. The constructed models are fully automated and fast, their results are reproducible, and the performance is equal to or better than current state-of-the-art methods in forensic odontology.

Analysis of the Incidence of Dental Pathologies in Ornamental and Agricultural Rabbits

Studies of the incidence of dental diseases and pathologies in decorative and agricultural breeds of rabbits have been carried out, the most effective treatment and preventive measures have been substantiated. The article presents the results of an analysis with the statistics of the incidence of such dental pathologies as overgrowth of incisors, overgrowth of cheek teeth and uneven wear due to tooth loss, among all recorded diseases in rabbits of different age groups. The authors identified dental pathologies that occupy a significant share among all registered rabbit diseases in the Saratov region. Dental diseases appear in older animals, with the exception of the overgrowth of incisors, this pathology is often found in young individuals of decorative rabbits. Treatment of overgrowth of cheek teeth is presented in the elimination of sharp ends of teeth - hooks and thorns. Individual teeth are removed if their roots are infected and cause abscesses. Correction of cheek teeth is carried out most often for decorative rabbits for apartment maintenance. Less often, it is performed for high-yield agricultural rabbits, producers, if their pathology was not caused by a genetic predisposition, but was the result of injury or improper feeding. Simple filing of the incisors is carried out without sedation, using a secure fixation of the rabbit. If the incisors grow too quickly in the rabbit, they are extracted. The main method of preventive measures and recommendations for prevention of dental disease in a rabbit is to maintain an appropriate diet. For early detection and treatment of dental problems in rabbits, regular check-ups and dental evaluations are essential.

MHM bracket design on the path of Dr Andrews of true straight wire technique, prototype study design.

OBJECTIVE:The authors invented an innovation in the bracket design; that targeted to fulfill the aim of Dr. Andrews for a true straight wire technique.MATERIALS AND METHODS:The use of the ball and socket design together with the ability to relocate the position of the slot in three dimensions enhances the control and precision of individual teeth.RESULTS:The revolutionary bracket eliminated any wire bending in the initial, intermediate or finishing stages of fixed orthodontic treatment. This was achieved together with complete 3D control on individual teeth positions to achieve the finest occlusion for individual patients.CONCLUSIONS:That system allowed for a true straight wire mechanics with no wire bending. The design could be used labially or lingually without the need of indirect bonding techniques. Additionally, any adjustments could be performed intraorally with simple pressure.

Tooth segmentation in 3D cone-beam CT images using deep convolutional neural network

Segmentation of an individual tooth in dental radiographs has great significance in the process of orthodontics surgeries and dentistry. Machine learning techniques, especially deep convolutional neural networks can play a key role in revolutionizing the way orthodontics surgeons and dentists work. Lately, many researchers have been working on tooth segmentation in 3D volumetric dental scans with a great degree of success, but to the best of our knowledge, there is no pretrained neural network available publicly for performing tooth segmentation in 3D cone-beam dental CT scans. The methods which so far have been proposed by the researchers in this domain are based on complex multistep pipelines. This lack of the availability of a pre-trained model blocks the path for further explorations in this domain. In this research, we have produced a deep learning model for tooth segmentation from CBCT dental radiographs. The proposed model can segment teeth in CBCT scans in a single step. To train the proposed model, we obtained a dataset consisting of 70 3D CBCT volumes from a local health facility. We labeled the ground truth through a semi-automatic method and trained our neural network. The training yielded a validation accuracy of 95.57% on a binary class semantic segmentation of the 3D CBCT volumes. The model is successfully able to segment teeth, regardless of their type from the background in a single step. This eliminates the need of having a complex and lengthy pipeline which many researchers have been proposing. The proposed model can be extended by incorporating labeling schemes. The custom labeling schemes will help healthcare professionals to perform the labeling as per their needs. The produced model can also provide a basis for further research in this domain.

Fault detection in bevel gearbox using proposed condition indicators and vibration signals

Throughout the course of recent years, much examination is being done to the foster the frameworks which are fit for identifying issues and mutilated vibration signals in bevel gear by utilizing various strategies to work on the exactness and productivity of the issue identification frameworks. In this paper research has been led to recognize the issue in the bevel gear utilizing proposed condition indicators and EMD through vibration signals. Arising research patterns propose that enhancements in signal handling, sensor advancement and individual tooth signal demonstrating could work on the presentation of flow and future issue identification frameworks.

Cost-Effective analysis of silver diamine fluoride in comparison to glass ionomer cement along with fluoride varnish in the management of early childhood caries in anganwadi centers of Mangalore: A randomized control trail

Introduction: Early childhood caries (ECC) is a major public health challenge affecting preschool children. Silver diamine fluoride (SDF) is a noninvasive, alternative method to surgical intervention in the treatment of ECC. It has also shown to inhibit the development of new carious lesions. Materials and Methods: An open-labeled randomized controlled trail was conducted among 200 Anganwadi children. They were divided into two groups: Group A received oral prophylaxis and application of 38% SDF and Group B received oral prophylaxis, restoration using glass ionomer cement (GIC) and application of 5% sodium fluoride varnish (FV). The effectiveness in reduction of dental caries was assessed based on its ability to result in a positive outcome postintervention. Cost-effectiveness analysis, from the service provider perspective, was conducted to evaluate the effectiveness of SDF when compared to GIC followed by the application of FV. Average cost-effectiveness ratio and incremental cost-effectiveness ratio (ICER) for all the specific outcomes were assessed. Results: The average cost for converting an individual tooth from active caries to inactive caries using SDF was 67.30 Indian Rupees (INR), whereas the same was 225.5 INR using GIC with FV. The ICER of the interventions for the total number of inactive caries postintervention was measured at −89.9, implying that Incremental costs of one extra tooth of active caries to be converted into inactive caries using SDF will cost 89.9 INR less compared to the same outcome using GIC with FV. Conclusions: Thus, the study showed that SDF was cost-effective when compared to GIC in restoring active carious lesions.

Individual Tooth Segmentation in Human Teeth Images Using Pseudo Edge-Region Obtained by Deep Neural Networks

Individual Tooth Segmentation in Human Teeth Images Using Pseudo Edge-Region Obtained by Deep Neural Networks

딥러닝을 이용한 방사선학적 골 손실과 치주염 단계 분류의 자동적 진단 방법

In this study, a deep learning hybrid framework was developed to automatically stage periodontitis in dental panoramic radiographs. The framework was proposed to automatically quantify the periodontal bone loss and classify periodontitis for each individual tooth into four stages according to the criteria that was proposed at the 2017 World Workshop. Radiographic bone level (or CEJ level) was detected using deep learning with a simple structure of the entire jaw in panoramic radiographs. Next, the percent ratio analysis of the radiographic bone loss combined the tooth long-axis with periodontal bone and CEJ levels. The percentage ratios can be used to automatically classify periodontal bone loss. Additionally, the number of missing teeth was quantified by detecting the position of the missing teeth in the panoramic radiographs. A multi-device study was also performed to verify the generality of the developed method. The mean absolute difference (MAD) between periodontitis stages by the automatic method and by the radiologists was 0.31 overall for all the teeth in the whole jaw. The MADs for the images from the multiple devices were 0.25, 0.34, and 0.35 for devices 1, 2, and 3, respectively. The developed method had a high accuracy, reliability, and generality when automatically diagnosing periodontal bone loss and the staging of periodontitis by the multi-device study.

Variations of the Mesiodistal width of permanent teeth in a sample of patients attending Ajman University Dental College

The current study aims to measure the variations of the mesiodistal width of permanent teeth in a sample of patients attending Ajman University Dental Hospital. Materials and Method: A Descriptive cross-sectional study of 85 pretreatment study casts of patients (M:33, F:52) aged between 11-38 attending the Orthodontic unit at Ajman University Dental Hospital. The samples were selected randomly for measurements, which were performed using an electronic digital calibre. The width of an individual tooth is measured accurately from the mesial contact point to the distal contact point. The measurement was performed for all the 12 maxillary and mandibular teeth (from 16 to 26 and 36 to 46). The data put up in an excel sheet and sent to the statistician for analysis. Results: Class I and II showed a higher overall ratio and anterior ratio in males with no difference between the gender neither in the anterior or the overall ratio. At the same time, Class III malocclusion had a significant difference in both overall and anterior ratios. The maxillary 1st premolars and 2nd premolars teeth have insignificant mesiodistal differences between genders, while the maxillary canine and the 2nd premolar have a significant difference between right and left quadrants. The mandibular teeth showed no significant difference in mesiodistal width between right and left quadrants. Conclusion: The insignificant difference between the sample and Bolton in the anterior and posterior ratios in Class I & II cases explain the similarity of the racial feature. There is a significant difference in Class III between our sample and the Bolton original work.

Torquemeter – a simplified chair side device.

Torque enables an accurate control of the axial inclinations of teeth in a labio-lingual direction and thus, harmonise the individual tooth position relationships desirable for finished case. It is difficult to measure precisely the individual root torque incorporated in the wire without the costly and rather tedious armamentarium available in the market. Hence, an effort has been made through this clinical innovation to present a cost effective and chairside techniques to gauge the degrees of incorporated torque in the arch wire accurately

The marginal gaps of lithium disilicate crowns constructed by different scanner and milling unit combinations.

The purpose of this study was to compare the marginal gaps of CAD/CAM lithium disilicate (LDS) crowns constructed using three different scanner and milling unit combinations. Twenty-four Columbia model lower left molars were prepared for LDS crowns by undergraduate students in a simulated environment. One LDS crown was constructed for each crown preparation using each of the following intraoral scanner/milling unit combinations: TRIOS 3 scanner/E4D milling unit (TRIO/E4DM); TRIOS 3 scanner/Sirona inLab MC X5 milling unit (TRIO/MCX5); E4D scanner/E4D milling unit (E4DS/E4DM). The crowns were seated onto the original crown preparations and three vertical marginal gap measurements taken at four locations (mid-buccal, mid-lingual, mid-mesial and mid-distal) using a stereomicroscope. The mean marginal gap (MMG) was calculated for each crown and each individual tooth surface. The TRIO/MCX5 scanner/milling unit combination produced the smallest MMG of 63.73 ± 47.38 μm followed by E4DS/E4DM (88.64 ± 106.51 μm) and TRIO/E4DM (107.41 ± 76.47 μm). There was a significant effect of milling unit (p < 0.0001) on MMG but no significant effect of scanner (p = 0.070) or location (p = 0.182). The newer scanner/milling unit combination produced LDS crowns with the smallest MMG. All scanner/milling unit combinations produced LDS crowns within a clinically acceptable MMG.

METHOD OF HEALTHY TEETH EXTRACTION IN ORTHODONTIC TREATMENT

In the treatment of orthodontic patients, the most difficult and controversial is the question of removing healthy teeth. The aim was to evaluate the 30-year orthodontic clinical experience of the staff of the Postgraduate Education Department of Orthodontists for the use of medical methods of removal of individual healthy teeth in the treatment of dental anomalies.&#x0D; The aim of our study is to evaluate 30 years of orthodontic clinical practice of the staff of the Postgradu- ate Education Department of Orthodontists for the use of medical removal of individual healthy teeth in the treatment of dental anomalies.&#x0D; 1340 dental outpatient cards of orthodontic patients who underwent orthodontic treatment and completed it with a positive result were reviewed at two clinical bases of the Postgraduate Education Department of Orthodontists.&#x0D; The analysis of selected outpatient cards was performed taking into account the age and sex of patients, as well as depending on the type of pathological occlusion (according to Angle) and the type of teeth removed. Cards of patients with Angle's class I and II pathology were selected for scientific analysis.&#x0D; 241 patient underwent tooth extraction at both bases in total in terms of treatment, which is 17.99%. The number of patients with removed temporary teeth was 59.39% (143/241), patients with removed permanent teeth - 40.7% (98/241).&#x0D; Permanent teeth were removed 1.45 times more often at the clinic "Orthodontist", which is explained by the higher frequency of requests for orthodontic care from adults and adolescents.&#x0D; On the basis of the Postgraduate Education Department of Orthodontists, patients with deciduous teeth predominate - 69% (51/74) against 45% (75/167) in the clinic "Orthodontist". This is due to the fact that the main contingent of patients who seek help from the department are patients in the age of variable occlusion, which means that the Hotz method and the author's method of corrective removal of temporary molars are used more often.&#x0D; A detailed analysis of the documentation of patients was performed at the base of the Postgraduate Edu- cation Department of Orthodontists who were treated with the use of individual teeth extraction by periods of occlusion. Children in the period of the first half of the variable occlusion accounted for 39.19% (29/74), chil- dren in the second half of the variable occlusion - 25.67% (19/74), and patients older than 13 years - 35.14% (26/74).&#x0D; In female patients, regardless of age, tooth extraction is performed 13% -15% of cases more often than in men, which is due to a more attentive attitude to the appearance of girls by their parents.&#x0D; Among patients with various types of pathological occlusions treated with the method of removal of individual healthy teeth, children, adolescents and adults with Angle class I occlusion pathology accounted for 53.94% (130/241). Assessing the frequency of application of the method of extraction of healthy teeth by age, we can say that in pathology of class II according to Angle most often the method is used in patients with permanent occlusion in 38.73% (43/111).&#x0D; In the treatment of pathology of class I according to Angle, the removal of healthy teeth is twice as often performed in alternating occlusion than in permanent. In the treatment of pathology of class II according to Angle, the method of removing individual teeth is more often used in patients with permanent occlusion.&#x0D; Research on the consequences of removing individual healthy teeth in orthodontic treatment is relevant and timely. Both in the private sector of orthodontic care and on the clinical basis of the Postgraduate Education Department of Orthodontists, about a fifth of patients of any age and any orthodontic pathology are treated orthodontically using the clinical method of removing individual healthy teeth.

Freshwater reservoir effects in Cis-Baikal: An overview

This paper summarises research on freshwater reservoir effects (FRE) in the Baikal region and their impact on the radiocarbon dating of human remains. Varying relationships are seen between human δ13C and δ15N values and 14C offsets in paired human-terrestrial mammal radiocarbon dates from the same graves in the different microregions of Cis-Baikal. In the Upper Lena microregion the FRE may also vary through time. These differences can be related in some cases to different isotopic ecologies, and in others to the presence of different old carbon reservoirs. Some areas requiring further research are highlighted, and the use of other proxies (δ2H, δ34S) for assessing the dietary contributions of freshwater resources is considered. A case study from the Early Neolithic cemetery of Shamanka II is used to illustrate the marked effects of changes in dietary catchment over an individual's life history, with bone and tooth dates from the same individual differing by 385 14C yr.

DETERMINATION OF NORMATIVE CEPHALOMETRIC PARAMETERS ACCORDING TO THE STEINER METHOD FOR UKRAINIAN YOUNG MEN AND YOUNG WOMEN WITH DIFFERENT FACE TYPES

In Ukrainian young men (n=49) or young women (n=76) with orthognathic occlusion with different face types, numerous reliable and tendencies of differences of cephalometric parameters by the Stainer method were established. Among the indicators belonging to the second group (indicators of the upper and lower jaws according to the Steiner method), significant differences were found only between young women with a very wide face and other types of faces. Among the indicators belonging to the third group (indicators by the Steiner method that characterize the position of each individual tooth relative to each other, cranial structures and soft tissue profile of the face), more pronounced differences are also found between young women with very wide faces and other facial types; among young men – with representatives with a wide face compared to the middle and narrow face types. Among the cephalometric parameters belonging to the second group of indicators, the expressed manifestations of sexual dimorphism of cephalometric parameters are established only for linear indicators; among the parameters belonging to the third group of indicators, the manifestations of sexual dimorphism are established for both linear and angular indicators.

Semi-Automatic Segmentation of Cone Beam Computed Tomography Datasets for Volume Measurements of Equine Cheek Teeth.

The volumes of equine teeth may change considerably over time for several reasons including domestication, routine dental floating, and the hypsodont and anelodont nature of the teeth. Cone beam computed tomography (CBCT) of the head is routinely performed in standing horses and, in this proof of concept study, the feasibility of measuring tooth volume from CBCT datasets was determined. The CBCT images of 5 equine cadaver cheek teeth were segmented with a software 3-dimensional (3D) Slicer using a predefined protocol, corrected manually, and re-assembled into a 3D model. Individual tooth volume (VS) was calculated from the model. After extraction, the volumes were also measured using the "gold-standard" water displacement method (VW) for comparison. The VS of 77 teeth ranged from 7114 to 42,300 mm3 which strongly correlated with VW (r = 0.99), and on average VS was 6.1% less than VW. There was no significant difference in VS between the right and left arcades in individual animals. Maxillary cheek tooth volume was on average 40% larger than it was for mandibular counterparts. Semi-automatic image segmentation of equine cheek teeth from CBCT data is feasible and accurate but requires some manual intervention. This preliminary study provides initial data on the volume of equine cheek teeth and creates new possibilities for future in vivo studies.

Perbandingan Efektivitas Mengunyah Buah Apel (Malus Sylvestris Mill) dan Buah Semangka (Citrullus Lanatus) Sebagai Self-cleansing Terhadap Perubahan Indeks Debris Pada Siswa Kelas VII SMPN 30 Kota Padang

Debris is a leftover of food that found on the surface of an individual's teeth. Uncontrolled debris can cause dental caries. Eating fruits that contain fiber and water can reduce debris in the oral cavity, because it can increase salivary secretion during mastication. So that it can help the self-cleansing effect in the mouth. Objective: The purpose of this research was to find out the differences in the effectiveness of chewing apple (Malus sylvestris mill) with watermelon (Citrullus lanatus) as a self-cleansing in decreasing debris index in grade VII students of SMP 30 Kota Padang. Methods: This research used quasi-experimental design with pre and post-test design techniques that used purposive sampling with a 37 samples of people and consisted of two treatment groups. Self-administered questionnaire used to collect the information from respondent. Then, the data was analyzed by computerized analysts. Results: The average debris index before and after chewing apples has decreased by 1.170 with a standard deviation of 0.302. Then, the average debris index before and after chewing the watermelon decreased by 0.612 with a standard deviation of 0.17, according to the Wilcoxon test showed the p value of is 0,000 (p &lt;0.05). Conclusion: There are significant differences from the results of the debris index before and after consuming apples and watermelons in the two treatment groups. In the Mann Whitney test showed a value of p = 0,000 (p &lt;0.05)&#x0D;

Trueness of full-arch IO scans estimated based on 3D translational and rotational deviations of single teeth\u2014an in vitro study

ObjectivesTo three-dimensionally evaluate deviations of full-arch intraoral (IO) scans from reference desktop scans in terms of translations and rotations of individual teeth and different types of (mal)occlusion.Materials and methodsThree resin model pairs reflecting different tooth (mal)positions were mounted in the phantom head of a dental simulation unit and scanned by three dentists and three non-graduate investigators using a confocal laser IO scanner (Trios 3®). The tooth-crown surfaces of the IO scans and reference scans were superimposed by means of best-fit alignment. A novel method comprising the measurement of individual tooth positions was used to determine the deviations of each tooth in the six degrees of freedom, i.e., in terms of 3D translation and rotation. Deviations between IO and reference scans, among tooth-(mal)position models, and between dentists and non-graduate investigators were analyzed using linear mixed-effects models.ResultsThe overall translational deviations of individual teeth on the IO scans were 76, 32, and 58 µm in the lingual, mesial, and intrusive directions, respectively, resulting in a total displacement of 114 µm. Corresponding rotational deviations were 0.58° buccal tipping, 0.04° mesial tipping, and 0.14° distorotation leading to a combined rotation of 0.78°. These deviations were the smallest for the dental arches with anterior crowding, followed by those with spacing and those with good alignment (p < 0.05). Results were independent of the operator’s level of education.ConclusionsCompared to reference desktop scans, individual teeth on full-arch IO scans showed high trueness with total translational and rotational deviations < 115 µm and < 0.80°, respectively.Clinical relevanceAvailable confocal laser IO scanners appear sufficiently accurate for diagnostic and therapeutic orthodontic applications. Results indicate that full-arch IO scanning can be delegated to non-graduate dental staff members.

Development of a new evaluation method for orthodontic forces generated in individual patients.

Numerous experimental studies have examined how much orthodontic force is needed to move teeth more smoothly; however, no reports have examined this clinically in individual, living subjects. We aimed to develop a method for quantifying the force exerted on individual teeth by an orthodontic wire to measure how loads placed on crowded teeth change dynamically over time. Accordingly, we fabricated a series of dental casts of patients undergoing orthodontic treatment (using optical impressions and a three-dimensional printer), fitted these models with nickel-titanium wire, and subjected them to bending load tests. During leveling, nickel-titanium wire is generally considered to exert a weak force due to its low elastic modulus, with a weak orthodontic force applied over a long period of time due to its superelasticity; however, we found that the actual energy exerted by nickel-titanium wire is also largely affected by other factors (e.g., amount of crowding).

Learning an Optimal Operational Strategy for Service Life Extension of Gear Wheels with Double Deep Q Networks

One failure mechanism of gear wheels is pitting. If the gear wheel is case hardened, pitting degradation dominates normally at one tooth only. All the other teeth are still intact at the standardized end of life criterion of 4 % pitting area based on the total tooth area.&#x0D; Using an operational strategy that was developed at the Institute of Machine Components, the service life of gear wheels can be extended by a local stress reduction at the weakest tooth. This is accomplished by applying an adapted torque at the transmission input that shifts a minimum torque in the area of the pre-damaged, and thus, weakest tooth. Consequently, all remaining teeth with higher load bearing capacity are subjected to higher torque. Prerequisite for the described theoretical operational strategy is knowledge on pitting-size and -position. The detection of these properties in operation is not state of the art yet.&#x0D; In this work, only the gearbox vibration signal is known without explicit knowledge about the inside pitting. So the challenge is to determine the health for each individual tooth and to choose an optimal adapted torque based on this. This is especially difficult due to differing growth rates of pittings on one individual gear wheel. Hence, different pittings dominate over the service life, which results in the need of a continuous optimization of the torque control.&#x0D; Algorithms of Reinforcement Learning (RL) are particularly suitable for this challenge. In this branch of Machine Learning (ML), an agent interacts inside an environment and learns by getting rewards for taking actions at given states. In this study, the environment is a gearbox-simulation-model, the state is the current vibration signal, and the action is the chosen adapted torque. Thus, it is possible to let the algorithm learn the whole operational strategy, from online failure detection to an adapted torque at the transmission input.&#x0D; The results of this study show the theoretical feasibility of the operational strategy using Double Deep Q Networks as the RL Algorithm. The algorithm is able to learn a suitable reaction to pittings that increase linearly or progressively at an early stage and therefore delays their growth within the defined limits. Thus, the lifetime of the gearbox is extended while maintaining the same total power of the gearbox. As an outlook, the results will be examined for their sensitivity on several influencing factors in a further study. The wider view is to use this simulation on a test rig and validate the results.