Transmission Component Condition Monitoring
Linear motion systems are critical components of precision machinery composed of linear motion rails, sliding bases, and ball fixings. Linear motion systems operate through a low friction sliding motion over a linear axis. By collecting vibration signals during the operation, data processing and modeling can create reliable networked modules which will be able to determine the condition of the linear motion guides while the remote site will be able to monitor the status of all the industrial machinery.
The on-site modules will have wiring and space constraints, so given these requirements, the data acquisition modules need to be an all-in-one compact computing platform that can perform collection, storage, and data processing in addition to network connectivity.
extensive IT programming capabilities, customers can use the streamlined
instruction set of ARM-based MCUs for all the necessary controls and
computation. The Linux architecture requires only 4GB of internal memory to
store collected data and extract its values. Finally, the relevant information
can be uploaded to the cloud through Advantech's wireless ADAM-6700E module so
that engineers can remotely monitor the status of the linear motion guides and
- MIC-1816R: 16-bit, 1MS/s, DAQ platform with ARM Cortex™-A9 i.MX6 1GHz
- ADAM-6700E: USB to MiniPCIe adaptor module
The client used Advantech's highly integrated Ubuntu Linux API (in combination with DAQ and Wireless imaging) to develop a highly customized on-site information flow connected to the corporate database. While the client possessed a high degree of IT capability in coding and network infrastructure, they lacked a solution for on-site data collection and hardware integration. After repeated discussions with the client, Advantech came up with a complete hardware and system integration platform appropriate to the client's IT capability by turning the standardized IPC+DAQ solution into a compact data acquisition platform.
The client was then able to use their expertise in software development to greatly reduce hardware requirements, thereby cutting the costs of deployment. The client subsequently managed to complete the deployment of the solution to more than a thousand machines in their factory. The resulting machine condition monitoring and predictive maintenance solution considerably increased manufacturing efficiency and has thus far been adopted in more than 2,000 systems in all kinds of industry.