状态监控的振动检测
Condition-based monitoring (CbM) is defined as a predictive maintenance strategy that continuously monitors the condition of assets using different types of sensors and uses the data extracted from sensors to monitor assets in real time. The collected data can help manufacturers increase throughput and asset utilization by reducing maintenance costs and asset downtime. CbM can be used to establish trends, predict failure, calculate the lifetime of an asset, and increase safety in manufacturing plants.
Analog Devices’ deep domain knowledge across sensing, signal processing, communications, power management, and system design considerations, combined with our AI sensing and interpreting platform at the edge, enables our customers to deploy new condition monitoring solutions faster and extract more value, with access to higher quality data and insights. Our complete, system-level solutions provide the technology and insights to create new, high value, predictive maintenance service offerings for deployed equipment.
探索应用领域 状态监控的振动检测
-
Wired Asset Health Monitoring Solutions
-
Wireless Asset Health Monitoring Solutions
CbM Development Platforms Accelerate Time to Market
Developing accurate, reliable condition-monitoring solutions for industrial assets requires a combination of technologies and design considerations to capture and convert critical signals into actionable insights. MEMS inertial, temperature, and magnetic field, along with supporting signal chains provide accurate and reliable data. Our open-source, embedded software carefully samples and processes signals to ensure sensor data is optimized for critical decision making. Real-time anomaly and event detection algorithms enhance condition-based monitoring solutions and provide a deeper understanding of overall machine health, helping you make actionable insights. Optimized mechanical mounting for condition monitoring solutions ensures that early defect signatures can be extracted from the sensor solution.
文件和下载
MS-1815：MEMS传感器技术助力制造业改善预测维护
1.64 M
新一代状态监控
1.55 M
在隔离RS-485节点中分割隔离电源的选择和解决方案
1.64 M
利用电表诊断数据发挥部署AMI的全部潜能
1.64 M
航天产品选型指南
1.64 M
如何设计GSPS转换器的宽带前端
1.64 M
MS-2151：精密MEMS传感器实现新型导航应用
1.64 M
MS-2162:惯性MEMS：从提升生活品质到拯救生命
1.64 M
相比漏电指数与工作电压的关系
1.64 M
实时电表健康监控及基于数据驱动的智能化决策
1.64 M
通过10BASE-T1L实施Galileo有线状态监控
1.77 M
UG-1121: Evaluating the Low Noise, High Frequency MEMS ADXL1001/ADXL1002 Accelerometers
190.13 K
eBook: Industrial Automation Solutions
5.06 M
CN0303：带频率响应补偿的MEMS振动分析仪
451 kB
.svg?rev=fd385c90e2cf4716ae9a8c8d20e6b8e3&la=zh&h=24&w=24&hash=7CDDC996281D9E966D391D97E93C6727){kind=icon}
{{modalTitle}}
{{modalDescription}}
{{dropdownTitle}}
- {{defaultSelectedText}} {{#each projectNames}}
- {{name}} {{/each}} {{#if newProjectText}}
-
{{newProjectText}}
{{/if}}
{{newProjectTitle}}
{{projectNameErrorText}}