Solution of reducer fault prediction system
In the industry of pump rotating machinery, the industrial chain is composed of pump manufacturers, main engine plants and terminal users. Pump manufacturers hope to solve: How to increase the efficiency of after-sales operation and maintenance and lower the cost of maintenance? How to ensure product’s market application quality and performance? How to predict pump’s health condition at the client site? Main engine plants hope to solve: How to reduce the fault maintenance cost for core parts of main engine? How to know about main engine’s operation health condition in real time at the client site? Terminal users hope to solve: How to avoid loss caused by downtime of production line due to abnormal fault in the equipment? How to know about operation health condition of equipment in real time?
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Solution of air compressor fault prediction system
In recent years, air compressor has become an essential power equipment in industrial plant. However, in the long-term process of use, air compressor will unavoidably have a lot of requirements for after-sales maintenance and fault handling. At present, most of companies have regular check and troubleshooting manually, this method wastes a large number of manpower with low efficiency. If unforeseen circumstances happen, it will not only affect company’s production operation, security incidents will also happen. Therefore, in the phase of innovation and upgrade of air compressor industry, the air compressor manufacturers hope to solve: How to increase the efficiency of after-sales operation and maintenance and lower the cost of maintenance? the end user wants to solve: how to avoid the loss caused by the shutdown of the production line due to the abnormal failure of the air compressor equipment?
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Solution of blower equipment fault prediction system
n the industry of large blower rotating machinery, the industry chain is composed of large blower manufacturers and terminal users. Large blower manufacturers have issues such as: How to increase the efficiency of after-sales operation and maintenance and lower the cost of maintenance? How to enhance product’s market application quality and performance? How to predict large blower’s health condition at the client site? Terminal users have issues such as: How to avoid loss caused by downtime of production line due to abnormal fault in large blower? How to know about operation health condition of large blower equipment in real time? How to have inspection and maintenance on large blower effectively? How to shorten the fault troubleshooting time for large blower?
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Solution of machine tool fault prediction system
In the industry of industrial machine tool, the industrial chain is mainly composed of the upstream, raw material and parts; midstream, all kinds of machine tool products; downstream, application service. In the domain of industry, the long-running operation of all functions of machine tool equipment is one of the critical factors for technological process. Therefore, in the phase of innovation and upgrade of machine tool industry in China, the machine tool manufacturers hope to solve: How to increase the efficiency of after-sales operation and maintenance and lower the cost of maintenance? The terminal users hope to solve: How to avoid loss caused by downtime of production line due to abnormal fault in machine tool?
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Solution of pump fault prediction system
In the pump rotating equipment industry, the industrial chain consists of pump manufacturers, OEMs, and end users. Generally, pump manufacturers hope to solve problems related to after-sales operation and maintenance efficiency and maintenance costs; to ensure the market application performance of the product; and the health of the pump at the customer's site. The main pump manufacturer hopes to reduce the maintenance cost of the core components of the main equipment, and to understand the operating health of the main equipment on the customer's site in time. End users hope to solve problems related to downtime and production, real-time operation and health of equipment, and personal safety hazards caused by abnormal equipment production.
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