In recent automated manufacturing systems, compressed air-based pneumatic cylinders have been widely used for basic perpetration including picking up and moving a target object. They are relatively categorized as small machines, but many linear or rotary cylinders play an important role in discrete manufacturing systems. Therefore, sudden operation stop or interruption due to a fault occurrence in pneumatic cylinders leads to a decrease in repair costs and production and even threatens the safety of workers. In this regard, this study proposed a fault detection technique by developing a time-variant deep learning model from multivariate sensor data analysis for estimating a current health state as four levels. In addition, it aims to establish a real-time fault detection system that allows workers to immediately identify and manage the cylinder’s status in either an actual shop floor or a remote management situation. To validate and verify the performance of the proposed system, we collected multivariate sensor signals from a rotary cylinder and it was successful in detecting the health state of the pneumatic cylinder with four severity levels. Furthermore, the optimal sensor location and signal type were analyzed through statistical inferences.

Earthworms have been employed in traditional oriental medicine for the treatment of neurological disorders, as anticonvulsants, analgesics, and sedatives. In fact, earthworms are currently used as a medicinal agent in China, South Korea, Japan, Taiwan and North Korea. However, both the species and the genus of the earthworms registered in the pharmacopoeia of each country are different. Neural injury is induced by oxidative stress, inflammation, and apoptosis. The role of various synthetic chemicals of earthworms as antioxidant and anti-inflammatory agents have been studied and earthworm extract and its components have been shown to protect nerve cells and restore nerve function in various preclinical neuronal damage models. We employed earthworm extracts to provide prevention and treatment strategies for many neurodegenerative disorders including Parkinson's disease, mild cognitive impairment, cerebral infarction, and peripheral nerve damage. In this study, we investigated the effects of earthworm extracts and its components to explore their prophylactic and therapeutic effects in various neuropathic models. We used earthworm resources to provide prevention and treatment strategies for many neurodegenerative disorders including Parkinson's disease, mild cognitive impairment, cerebral infarction, and peripheral nerve damage. We summarized the protective effects of both earthworms and their extracts on neuropathies. The current study identified some earthworm components to be used in treatment and prevention strategies for nerve disorders and could be helpful for the development of new therapies for intractable diseases.