Application of Rotating Machinery Fault Diagnosis Based on Deep Learning

With the continuous progress of modern industry, rotating machinery is gradually developing toward complexity and intelligence. The fault diagnosis technology of rotating machinery is one of the key means to ensure the normal operation of equipment and safe production, which has very important significance. Deep learning is a useful tool for analyzing and processing big data, which has been widely used in various fields. After a brief review of early fault diagnosis methods, this paper focuses on the method models that are widely used in deep learning: deep belief networks (DBN), autoencoders (AE), convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), and transfer learning methods are summarized from the two aspects of principle and application in the field of fault diagnosis of rotating machinery. Then, the commonly used evaluation indicators used to evaluate the performance of rotating machinery fault diagnosis methods are summarized. Finally, according to the current research status in the field of rotating machinery fault diagnosis, the current problems and possible future development and research trends are discussed.

Fused-cast chrome-containing refractories and prospects for their industrial production

Information is given on various types of fused-cast chrome-containing refractories ― chromalumozircon and chromium spinelids. It is shown that the chromium spinelids refractories HPL-85 and HMG are at the same level with the ceramic refractories made of chromium oxide in terms of corrosion resistance in melts of alkali- free borosilicate glass E, mineral wool, basalt fiber, etc. The problems of the presence and formation of hexavalent chromium in the production of chrome- containing materials are discussed. It is shown that the production of fused-cast chrome-containing refractories is possible under safe production conditions. The necessity of creating an industrial production of fused chromium-containing refractories based on domestic developments, taking into account the best foreign achievements, is noted.

Tripartite Evolutionary Game and Simulation Analysis of Coal Mining Safe Production Supervision under the Chinese Central Government’s Reward and Punishment Mechanism

In recent years, although coal mine accidents in China have decreased, they still occur frequently. Most previous studies on the evolutionary game of safety mining are limited to a focus on system dynamics and two-party game problems and lack a spatial graphic analysis of strategy evolution. The parameters adopted are too few, and the influencing factors considered are too simple. The purpose of the paper is to introduce more parameters to study which will have an important impact on the strategy choices of participants and the evolution path of the strategy over time. We construct a tripartite evolutionary game model of coal mining enterprises, local governments, and central governments. As our method, a payment matrix of participants and replicated dynamic equations is established, and we also implement parameter simulation in MATLAB. In summary, we found that the reward and punishment mechanism plays an important role in safe coal mining. Specifically, (1) intensifying rewards and penalties for coal mining enterprises and local governments will help encourage coal mining enterprises to implement safe production measures and local governments to implement central government safety supervision policies. However, increased rewards will reduce central government’s willingness to adopt incentive strategies. (2) The central government’s reward for coal mining enterprises’ safe production must be greater than the increased cost of safe production to encourage enterprises to implement such production. Economic incentives for local governments must be greater than the benefits of rent-seeking; only then will local governments choose to strictly implement supervision policies. (3) Increasing sales revenue and rent-seeking costs of coal mining enterprises can also encourage them to implement safe production. Therefore, a well-designed reward and punishment mechanism will change the behaviour of coal enterprises and improve the probability of safe production. The research presented in this paper further works on improving safe coal mining production and designing reasonable reward and punishment mechanisms.

Metabolic engineering strategies for de novo biosynthesis of sterols and steroids in yeast

Steroidal compounds are of great interest in the pharmaceutical field, with steroidal drugs as the second largest category of medicine in the world. Advances in synthetic biology and metabolic engineering have enabled de novo biosynthesis of sterols and steroids in yeast, which is a green and safe production route for these valuable steroidal compounds. In this review, we summarize the metabolic engineering strategies developed and employed for improving the de novo biosynthesis of sterols and steroids in yeast based on the regulation mechanisms, and introduce the recent progresses in de novo synthesis of some typical sterols and steroids in yeast. The remaining challenges and future perspectives are also discussed.

Production safety training using networked digital intelligent systems

The preparation and control of the knowledge of those working on industrial safety using networked digital intelligent learning systems containing formalized knowledge in text and graphical representation and simulation models in the form of distributed databases and knowledge is considered as the most important element of the organization of safe production based on digital technologies. When integrating training systems into a specific digital production, educational content, if necessary, is supplemented and developed by those responsible for training and the students themselves as part of the educational resource of digital organizations for training and retraining personnel.

Modeling of the process of safe functioning of a mechanized feed production complex

The article deals with the concept of the safe production process of forage by improving the means of mechanization in order to reduce injuries to workers and improve working conditions. A modern feed mill is an industrial complex and is quite specific, characterized by the peculiarities of the developing the factors that affect the health of workers, as well as the nature and level of their morbidity. Sources of hazards are power plants (transformers, electric motors, distribution panels and points, compressor stations, boiler plants, etc.), a significant number of various technological, transport and auxiliary equipment; mobile and self-propelled means of mechanization. A large number of different types of raw materials, often with specific properties, finely dispersed, with tendency to caking, dust releasing, pass through the communications of the enterprise, are stored in silos, bunkers, floor-type warehouses. With the effective implementation of the developed model, the process becomes explosion and fire safe, safe for the environment and comfortable during operation.

Living in the “Age of Humans”. Envisioning CAD Architecture for the Challenges of the Anthropocene—Energy, Environment, and Well-Being

The Anthropocene thesis poses new challenges to human activity on the planet. These challenges also apply to the built environment. Climate change will increase existing threats, and create new ones, for both human and natural systems. Above all, the built environment is expected to provide structural stability, access to water necessary for life, and safe production of clean energy. This research-by-design was focused on designing an adaptive built environment for Anthropocene societies and the maintenance of their well-being, and on envisioning and conceptualizing new architectural solutions based on multidisciplinary knowledge and CAD parametric design methods and tools. The conceptual designs are the result of these studies. These visions show how wind loads can be reduced, water can be stored, diverse energy sources can be integrated into one work of architecture, and thermal comfort can be provided to support local communities and the life of the environment in the belief that the coexistence of species on the planet will happen. They also illustrate how humanity will be able to use the Earth and its atmosphere as an energy producer and conductor and create a global, wireless, non-commercial energy network, accessible to all.

Molecular dynamics simulation of waxy deposition in crude oil system

Understanding the phase transition and deposition behavior of crude oil system with waxy is of great significance to ensure the safe production and transportation of oil. In this paper, molecular dynamics simulation is employed to explore the deposition process of crude oil system with heterogeneous waxy on the solid surface. The results show that in a multiphase system, the morphology of paraffin wax crystals will change correspondingly at different system temperatures. At low-temperature, the paraffin molecules are arranged in an orderly manner, which are easier to form wax crystals, resulting in the density of the system that changes greatly. As the temperature increases, the aggregation of the wax molecules decreases, which makes the fluidity increase, and it is not easy to form wax crystals.

Insights into the nutritional properties and microbiome diversity in sweet and sour yogurt manufactured in Bangladesh

Yogurt quality mainly depends on nutritional properties, microbial diversity and purity of starter culture. This study aimed to assess the nutritional composition and microbiome diversity in yogurt. Microbial diversity was analyzed by 16S and 18S rRNA based high-throughput sequencing. Significantly (P<0.05) higher pH, fat, moisture, total solid and solid-non-fat contents (%) were observed in sweet yogurt whereas sour varieties had significantly higher ash and minerals. Metagenomic investigation showed that 44.86% and 55.14% reads were assigned to bacterial and fungal taxa, respectively, with significantly higher taxonomic richness in sour yogurt. A significant difference in bacterial (Ppermanova=0.001) and fungal (Ppermanova=0.013) diversity between sweet and sour yogurt was recorded. We detected 76 bacterial and 70 fungal genera across these samples which were mostly represented by Firmicutes (>92%) and Ascomycota (98%) phyla, respectively. Among the detected genera, 36.84% bacterial and 22.86% fungal genera were found in both yogurt types. Our results suggest that Streptococcus (50.82%), Lactobacillus (39.92%), Enterobacter (4.85%), Lactococcus (2.84%) and Aeromonas (0.65%) are the most abundant bacterial genera, while Kluyveromyces (65.75%), Trichosporon (8.21%), Clavispora (7.19%), Candida (6.71%), Iodophanus (2.22%), Apiotrichum (1.94%), and Issatchenkia (1.35%) are the most abundant fungal genera in yogurt metagenomes. This is the first study on nutritional properties and microbiome diversity of Bangladeshi yogurt that would be a benchmark for safe production of quality yogurt by commercial manufacturers.