![\"\"](\"https:\/\/www.resensys.com\/Blog\/wp-content\/uploads\/2026\/03\/alert-fatique.jpg\")
<\/a><\/figure>\n\n\n\nWhat Is Alert Fatigue?<\/strong><\/h2>\n\n\n\nAlert fatigue is a condition in which frequent, non-critical alerts reduce an operator\u2019s ability to recognize and respond to genuine threats.<\/p>\n\n\n\n
<\/a>How Alert Fatigue Develops in Infrastructure Monitoring<\/strong><\/h3>\n\n\n\n\n- High-frequency sampling without contextual filtering<\/li>\n\n\n\n
- Static thresholds that ignore operational variability<\/li>\n\n\n\n
- Event-based alerts without prioritization<\/li>\n\n\n\n
- Limited visibility into historical and comparative data
<\/li>\n<\/ul>\n\n\n\nWhy Alert Fatigue Is Dangerous<\/strong><\/h3>\n\n\n\nIn safety-critical environments, alert fatigue can result in:<\/p>\n\n\n\n
\n- Slower response to structural anomalies<\/li>\n\n\n\n
- Missed early indicators of fatigue-related damage<\/li>\n\n\n\n
- Increased operational and public safety risk
<\/li>\n<\/ul>\n\n\n\n![\"\"](\"https:\/\/www.resensys.com\/Blog\/wp-content\/uploads\/2026\/03\/alert-fatique-2.jpg\")
<\/a><\/figure>\n\n\n\nRole of Alert Monitoring Systems in Infrastructure Safety<\/strong><\/h2>\n\n\n\nAn effective alert monitoring system does not simply notify, it enables informed decision-making.<\/p>\n\n\n\n
From Basic Alerts to Intelligent Monitoring<\/strong><\/p>\n\n\n\nTraditional alerting relies on fixed limits and single-sensor triggers. Modern systems integrate:<\/p>\n\n\n\n
\n- Multi-sensor correlation<\/li>\n\n\n\n
- Adjustable sampling intervals<\/li>\n\n\n\n
- Context-aware alert thresholds
<\/li>\n<\/ul>\n\n\n\nResensys\u2019 SenScope\u2122 <\/strong>data acquisition software<\/strong><\/a> exemplifies this approach by condensing large volumes of data from wireless SenSpot\u2122 sensors<\/a> into actionable structural diagnostics.<\/p>\n\n\n\nData Visualization That Reduces Cognitive Load<\/strong><\/p>\n\n\n\nSenScope\u2122 provides intuitive visualization of real-time and historical data, allowing engineers to assess alerts within the broader structural context, an essential step in reducing alarm fatigue.<\/p>\n\n\n\n
Real-Time Monitoring Systems vs Traditional Inspections<\/strong><\/h2>\n\n\n\nLimitations of Traditional Inspections<\/strong><\/p>\n\n\n\n\n- Periodic and labor-intensive<\/li>\n\n\n\n
- Unable to capture transient or short-duration events<\/li>\n\n\n\n
- Dependent on visual indicators rather than continuous data<\/li>\n<\/ul>\n\n\n\n
Advantages of a Real Time Monitoring System<\/strong><\/h3>\n\n\n\nA real time monitoring system enables continuous observation of structural behavior using adjustable sampling intervals, from 50 milliseconds (20 samples per second) to 15 seconds, depending on monitoring needs.<\/p>\n\n\n\n
This flexibility allows infrastructure owners to balance data resolution with long-term monitoring efficiency.<\/p>\n\n\n\n![\"\"](\"https:\/\/www.resensys.com\/Blog\/wp-content\/uploads\/2026\/03\/image.png\")
<\/a><\/figure>\n\n\n\nAutomated and Critical Alert Systems: Reducing Alarm Fatigue<\/strong><\/h2>\n\n\n\nHow Automated Alert Systems Improve Reliability<\/strong><\/h3>\n\n\n\nAn automated alert system evaluates sensor data continuously and triggers alerts only when conditions exceed user-defined thresholds. SenScope\u2122 automatically delivers alerts via email or text, ensuring timely notification without overwhelming users.<\/p>\n\n\n\n
<\/a>Importance of a Critical Alert System<\/strong><\/h3>\n\n\n\nA well-designed critical alert system:<\/p>\n\n\n\n
\n- Prioritizes alerts by severity and persistence<\/li>\n\n\n\n
- Escalates only when thresholds are meaningfully exceeded<\/li>\n\n\n\n
- Supports rapid response to structural risks<\/li>\n<\/ul>\n\n\n\n
This approach ensures attention is directed to conditions that genuinely require action.<\/p>\n\n\n\n
Event Detection, Burst Mode, and High-Resolution Monitoring<\/strong><\/h2>\n\n\n\nCapturing Transient Structural Events<\/strong><\/p>\n\n\n\nCertain structural behaviors, such as heavy truck crossings, wind gusts, or dynamic loading cycles occur over very short timeframes. To address this, Resensys supports burst mode data transmission (Type C sensors only).<\/p>\n\n\n\n
<\/a>Burst Mode Capabilities<\/strong><\/h3>\n\n\n\n\n- High-rate data capture triggered by sudden strain changes<\/li>\n\n\n\n
- User-adjustable sampling rate from 10 to 100 samples per second<\/strong><\/li>\n\n\n\n
- Trigger thresholds adjustable from 8 micro-strain to 512 micro-strain<\/strong><\/li>\n<\/ul>\n\n\n\n
This capability is critical for recording waveform-level data during live-load events while avoiding continuous high-rate sampling that contributes to alert fatigue.<\/p>\n\n\n\n![\"\"](\"https:\/\/www.resensys.com\/Blog\/wp-content\/uploads\/2026\/03\/image.gif\")
<\/a><\/figure>\n\n\n\nCondition Monitoring Solutions and Fatigue Monitoring<\/strong><\/h2>\n\n\n\nEffective condition monitoring solutions combine:<\/p>\n\n\n\n
\n- Adjustable sampling strategies<\/li>\n\n\n\n
- Long-range wireless communication (up to 300 m \/ 980 ft<\/strong>)<\/li>\n\n\n\n
- Reliable data acquisition across multiple sites<\/li>\n<\/ul>\n\n\n\n
SenScope\u2122<\/a> supports live visualization, historical data archiving, and real-time comparison across sensors, enabling scalable monitoring for government agencies and industrial operators alike.<\/p>\n\n\n\n<\/a>Fatigue Monitoring for Long-Term Asset Health<\/strong><\/h3>\n\n\n\nFatigue monitoring relies on long-term trend analysis rather than isolated events. Continuous monitoring helps engineers understand how cyclic loads affect structural performance over time, supporting predictive maintenance strategies<\/a>.<\/p>\n\n\n\nEffective condition monitoring solutions combine:<\/p>\n\n\n\n
\n- Adjustable sampling strategies<\/li>\n\n\n\n
- Long-range wireless communication (up to 300 m \/ 980 ft<\/strong>)<\/li>\n\n\n\n
- Reliable data acquisition across multiple sites<\/li>\n<\/ul>\n\n\n\n
SenScope\u2122<\/a> supports live visualization, historical data archiving, and real-time comparison across sensors, enabling scalable monitoring for government agencies and industrial operators alike.<\/p>\n\n\n\n<\/a>Fatigue Monitoring for Long-Term Asset Health<\/strong><\/h3>\n\n\n\nFatigue monitoring relies on long-term trend analysis rather than isolated events. Continuous monitoring helps engineers understand how cyclic loads affect structural performance over time, supporting predictive maintenance strategies<\/a>.<\/p>\n\n\n\nFatigue Analysis Through Smart Monitoring<\/strong><\/h2>\n\n\n\n<\/a>How Continuous Data Supports Fatigue Analysis<\/strong><\/h3>\n\n\n\nAccurate fatigue analysis depends on high-quality, long-duration datasets. SenScope\u2122 enables:<\/p>\n\n\n\n
\n- Export of sensor data to Excel for engineering analysis<\/li>\n\n\n\n
- Visualization of stress cycles and long-term trends<\/li>\n\n\n\n
- Correlation of load events with structural response<\/li>\n<\/ul>\n\n\n\n
<\/a>Preventing Long-Term Degradation<\/strong><\/h3>\n\n\n\nBy identifying fatigue-related patterns early, asset owners can intervene before damage progresses, reducing lifecycle costs and improving safety outcomes.<\/p>\n\n\n\n![\"\"](\"https:\/\/www.resensys.com\/Blog\/wp-content\/uploads\/2026\/03\/image-1.gif\")
<\/a><\/figure>\n\n\n\n<\/a>Sensor Types and Monitoring Flexibility<\/strong><\/h2>\n\n\n\nResensys supports multiple sensor configurations to meet diverse infrastructure needs:<\/p>\n\n\n\n
\n- Type D: <\/strong>Normal sampling from 100 ms (10 samples\/sec) to 15 sec<\/strong>, without event detection<\/li>\n\n\n\n
- Type C: <\/strong>Normal sampling with event detection and burst mode capability (up to 100 samples\/sec<\/strong>)<\/li>\n\n\n\n
- Type R: <\/strong>Similar to Type D but capable of measuring three strain signals<\/strong>, ideal for rosette gauge applications<\/li>\n<\/ul>\n\n\n\n
This flexibility ensures monitoring systems can be tailored to specific structural and regulatory requirements.
<\/p>\n\n\n\n
<\/a>How Advanced Monitoring Solutions Add Long-Term Value<\/strong><\/h2>\n\n\n\n\n- Improved Safety, Compliance, and Transparency: <\/strong>For government agencies, continuous data supports auditability and regulatory compliance. For industrial operators, it enables operational reliability and risk mitigation.<\/li>\n\n\n\n
- Optimized Lifecycle Management: <\/strong>Advanced monitoring reduces unplanned downtime, improves maintenance planning, and ensures resources are allocated based on actual structural condition rather than assumptions.
<\/li>\n<\/ul>\n\n\n\n![\"\"](\"https:\/\/www.resensys.com\/Blog\/wp-content\/uploads\/2026\/03\/image-1.png\")
<\/a><\/figure>\n\n\n\n<\/a>Advantages of Resensys Wireless Monitoring systems<\/strong><\/h2>\n\n\n\n![\"\"](\"https:\/\/www.resensys.com\/Blog\/wp-content\/uploads\/2026\/03\/image-2.png\")
<\/a><\/figure>\n\n\n\n<\/a>Conclusion: Addressing Alert Fatigue with Intelligent Monitoring<\/strong><\/h2>\n\n\n\nAlert fatigue is not a technology problem, it is a system design challenge. By combining intelligent alert monitoring systems, adjustable sampling strategies, automated alerts, and advanced data visualization, infrastructure owners can reduce alarm fatigue without compromising safety.<\/p>\n\n\n\n
Solutions like SenScope\u2122<\/strong>, paired with wireless condition monitoring sensors, provide a scalable, data-driven foundation for fatigue monitoring, fatigue analysis, and long-term infrastructure resilience.<\/p>\n\n\n\n<\/a>FAQs<\/strong><\/h2>\n\n\n\nQ. <\/strong>What causes alert fatigue in infrastructure monitoring systems?<\/p>\n\n\n\nAns. <\/strong>Alert fatigue is caused by excessive alerts, lack of prioritization, static thresholds, and monitoring systems that do not account for real-world structural behavior.<\/p>\n\n\n\nQ.<\/strong> How do real-time monitoring systems reduce alert fatigue?<\/p>\n\n\n\nAns. <\/strong>Real-time monitoring systems analyze data continuously and use contextual thresholds, ensuring only meaningful and actionable alerts are delivered to users.<\/p>\n\n\n\nQ.<\/strong> Why is fatigue monitoring important for infrastructure assets?<\/p>\n\n\n\nAns. <\/strong>Fatigue monitoring helps detect cumulative damage from repeated loads, enabling early intervention and extending the lifespan of critical infrastructure.<\/p>\n\n\n\n<\/a>Related Documents:<\/u><\/strong><\/h3>\n\n\n\nSeniMax\u2122 \u2013 Wireless Data Acquisition Gateway<\/a>
SenScope\u2122- Data Visualization Software<\/a><\/p>\n\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
Why Alert Fatigue Is a Growing Risk for Infrastructure Owners Digital monitoring has become essential for maintaining the safety and reliability of critical infrastructure. Bridges, transportation networks, industrial assets, and public facilities increasingly rely on sensor-based alerts to detect abnormal behavior. However, as monitoring coverage expands, many organizations encounter alert fatigue, a condition where excessive […]<\/p>\n","protected":false},"author":1,"featured_media":1923,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"nf_dc_page":"","footnotes":""},"categories":[7,5,22],"tags":[],"class_list":["post-1922","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-senspot","category-wireless-strain-sensor","category-wireless-vibration-acceleration-sensor","cat-7-id","cat-5-id","cat-22-id","has_thumb"],"yoast_head":"\n
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- \n
- High-frequency sampling without contextual filtering<\/li>\n\n\n\n
- Static thresholds that ignore operational variability<\/li>\n\n\n\n
- Event-based alerts without prioritization<\/li>\n\n\n\n
- Limited visibility into historical and comparative data
<\/li>\n<\/ul>\n\n\n\nWhy Alert Fatigue Is Dangerous<\/strong><\/h3>\n\n\n\n
In safety-critical environments, alert fatigue can result in:<\/p>\n\n\n\n
- \n
- Slower response to structural anomalies<\/li>\n\n\n\n
- Missed early indicators of fatigue-related damage<\/li>\n\n\n\n
- Increased operational and public safety risk
<\/li>\n<\/ul>\n\n\n\n<\/a><\/figure>\n\n\n\nRole of Alert Monitoring Systems in Infrastructure Safety<\/strong><\/h2>\n\n\n\n
An effective alert monitoring system does not simply notify, it enables informed decision-making.<\/p>\n\n\n\n
From Basic Alerts to Intelligent Monitoring<\/strong><\/p>\n\n\n\n
Traditional alerting relies on fixed limits and single-sensor triggers. Modern systems integrate:<\/p>\n\n\n\n
- \n
- Multi-sensor correlation<\/li>\n\n\n\n
- Adjustable sampling intervals<\/li>\n\n\n\n
- Context-aware alert thresholds
<\/li>\n<\/ul>\n\n\n\nResensys\u2019 SenScope\u2122 <\/strong>data acquisition software<\/strong><\/a> exemplifies this approach by condensing large volumes of data from wireless SenSpot\u2122 sensors<\/a> into actionable structural diagnostics.<\/p>\n\n\n\n
Data Visualization That Reduces Cognitive Load<\/strong><\/p>\n\n\n\n
SenScope\u2122 provides intuitive visualization of real-time and historical data, allowing engineers to assess alerts within the broader structural context, an essential step in reducing alarm fatigue.<\/p>\n\n\n\n
Real-Time Monitoring Systems vs Traditional Inspections<\/strong><\/h2>\n\n\n\n
Limitations of Traditional Inspections<\/strong><\/p>\n\n\n\n
- \n
- Periodic and labor-intensive<\/li>\n\n\n\n
- Unable to capture transient or short-duration events<\/li>\n\n\n\n
- Dependent on visual indicators rather than continuous data<\/li>\n<\/ul>\n\n\n\n
Advantages of a Real Time Monitoring System<\/strong><\/h3>\n\n\n\n
A real time monitoring system enables continuous observation of structural behavior using adjustable sampling intervals, from 50 milliseconds (20 samples per second) to 15 seconds, depending on monitoring needs.<\/p>\n\n\n\n
This flexibility allows infrastructure owners to balance data resolution with long-term monitoring efficiency.<\/p>\n\n\n\n
<\/a><\/figure>\n\n\n\nAutomated and Critical Alert Systems: Reducing Alarm Fatigue<\/strong><\/h2>\n\n\n\n
How Automated Alert Systems Improve Reliability<\/strong><\/h3>\n\n\n\n
An automated alert system evaluates sensor data continuously and triggers alerts only when conditions exceed user-defined thresholds. SenScope\u2122 automatically delivers alerts via email or text, ensuring timely notification without overwhelming users.<\/p>\n\n\n\n
<\/a>Importance of a Critical Alert System<\/strong><\/h3>\n\n\n\n
A well-designed critical alert system:<\/p>\n\n\n\n
- \n
- Prioritizes alerts by severity and persistence<\/li>\n\n\n\n
- Escalates only when thresholds are meaningfully exceeded<\/li>\n\n\n\n
- Supports rapid response to structural risks<\/li>\n<\/ul>\n\n\n\n
This approach ensures attention is directed to conditions that genuinely require action.<\/p>\n\n\n\n
Event Detection, Burst Mode, and High-Resolution Monitoring<\/strong><\/h2>\n\n\n\n
Capturing Transient Structural Events<\/strong><\/p>\n\n\n\n
Certain structural behaviors, such as heavy truck crossings, wind gusts, or dynamic loading cycles occur over very short timeframes. To address this, Resensys supports burst mode data transmission (Type C sensors only).<\/p>\n\n\n\n
<\/a>Burst Mode Capabilities<\/strong><\/h3>\n\n\n\n
- \n
- High-rate data capture triggered by sudden strain changes<\/li>\n\n\n\n
- User-adjustable sampling rate from 10 to 100 samples per second<\/strong><\/li>\n\n\n\n
- Trigger thresholds adjustable from 8 micro-strain to 512 micro-strain<\/strong><\/li>\n<\/ul>\n\n\n\n
This capability is critical for recording waveform-level data during live-load events while avoiding continuous high-rate sampling that contributes to alert fatigue.<\/p>\n\n\n\n
<\/a><\/figure>\n\n\n\nCondition Monitoring Solutions and Fatigue Monitoring<\/strong><\/h2>\n\n\n\n
Effective condition monitoring solutions combine:<\/p>\n\n\n\n
- \n
- Adjustable sampling strategies<\/li>\n\n\n\n
- Long-range wireless communication (up to 300 m \/ 980 ft<\/strong>)<\/li>\n\n\n\n
- Reliable data acquisition across multiple sites<\/li>\n<\/ul>\n\n\n\n
SenScope\u2122<\/a> supports live visualization, historical data archiving, and real-time comparison across sensors, enabling scalable monitoring for government agencies and industrial operators alike.<\/p>\n\n\n\n
<\/a>Fatigue Monitoring for Long-Term Asset Health<\/strong><\/h3>\n\n\n\n
Fatigue monitoring relies on long-term trend analysis rather than isolated events. Continuous monitoring helps engineers understand how cyclic loads affect structural performance over time, supporting predictive maintenance strategies<\/a>.<\/p>\n\n\n\n
Effective condition monitoring solutions combine:<\/p>\n\n\n\n
- \n
- Adjustable sampling strategies<\/li>\n\n\n\n
- Long-range wireless communication (up to 300 m \/ 980 ft<\/strong>)<\/li>\n\n\n\n
- Reliable data acquisition across multiple sites<\/li>\n<\/ul>\n\n\n\n
SenScope\u2122<\/a> supports live visualization, historical data archiving, and real-time comparison across sensors, enabling scalable monitoring for government agencies and industrial operators alike.<\/p>\n\n\n\n
<\/a>Fatigue Monitoring for Long-Term Asset Health<\/strong><\/h3>\n\n\n\n
Fatigue monitoring relies on long-term trend analysis rather than isolated events. Continuous monitoring helps engineers understand how cyclic loads affect structural performance over time, supporting predictive maintenance strategies<\/a>.<\/p>\n\n\n\n
Fatigue Analysis Through Smart Monitoring<\/strong><\/h2>\n\n\n\n
<\/a>How Continuous Data Supports Fatigue Analysis<\/strong><\/h3>\n\n\n\n
Accurate fatigue analysis depends on high-quality, long-duration datasets. SenScope\u2122 enables:<\/p>\n\n\n\n
- \n
- Export of sensor data to Excel for engineering analysis<\/li>\n\n\n\n
- Visualization of stress cycles and long-term trends<\/li>\n\n\n\n
- Correlation of load events with structural response<\/li>\n<\/ul>\n\n\n\n
<\/a>Preventing Long-Term Degradation<\/strong><\/h3>\n\n\n\n
By identifying fatigue-related patterns early, asset owners can intervene before damage progresses, reducing lifecycle costs and improving safety outcomes.<\/p>\n\n\n\n
<\/a><\/figure>\n\n\n\n<\/a>Sensor Types and Monitoring Flexibility<\/strong><\/h2>\n\n\n\n
Resensys supports multiple sensor configurations to meet diverse infrastructure needs:<\/p>\n\n\n\n
- \n
- Type D: <\/strong>Normal sampling from 100 ms (10 samples\/sec) to 15 sec<\/strong>, without event detection<\/li>\n\n\n\n
- Type C: <\/strong>Normal sampling with event detection and burst mode capability (up to 100 samples\/sec<\/strong>)<\/li>\n\n\n\n
- Type R: <\/strong>Similar to Type D but capable of measuring three strain signals<\/strong>, ideal for rosette gauge applications<\/li>\n<\/ul>\n\n\n\n
This flexibility ensures monitoring systems can be tailored to specific structural and regulatory requirements.
<\/p>\n\n\n\n<\/a>How Advanced Monitoring Solutions Add Long-Term Value<\/strong><\/h2>\n\n\n\n
- \n
- Improved Safety, Compliance, and Transparency: <\/strong>For government agencies, continuous data supports auditability and regulatory compliance. For industrial operators, it enables operational reliability and risk mitigation.<\/li>\n\n\n\n
- Optimized Lifecycle Management: <\/strong>Advanced monitoring reduces unplanned downtime, improves maintenance planning, and ensures resources are allocated based on actual structural condition rather than assumptions.
<\/li>\n<\/ul>\n\n\n\n<\/a><\/figure>\n\n\n\n<\/a>Advantages of Resensys Wireless Monitoring systems<\/strong><\/h2>\n\n\n\n
<\/a><\/figure>\n\n\n\n<\/a>Conclusion: Addressing Alert Fatigue with Intelligent Monitoring<\/strong><\/h2>\n\n\n\n
Alert fatigue is not a technology problem, it is a system design challenge. By combining intelligent alert monitoring systems, adjustable sampling strategies, automated alerts, and advanced data visualization, infrastructure owners can reduce alarm fatigue without compromising safety.<\/p>\n\n\n\n
Solutions like SenScope\u2122<\/strong>, paired with wireless condition monitoring sensors, provide a scalable, data-driven foundation for fatigue monitoring, fatigue analysis, and long-term infrastructure resilience.<\/p>\n\n\n\n
<\/a>FAQs<\/strong><\/h2>\n\n\n\n
Q. <\/strong>What causes alert fatigue in infrastructure monitoring systems?<\/p>\n\n\n\n
Ans. <\/strong>Alert fatigue is caused by excessive alerts, lack of prioritization, static thresholds, and monitoring systems that do not account for real-world structural behavior.<\/p>\n\n\n\n
Q.<\/strong> How do real-time monitoring systems reduce alert fatigue?<\/p>\n\n\n\n
Ans. <\/strong>Real-time monitoring systems analyze data continuously and use contextual thresholds, ensuring only meaningful and actionable alerts are delivered to users.<\/p>\n\n\n\n
Q.<\/strong> Why is fatigue monitoring important for infrastructure assets?<\/p>\n\n\n\n
Ans. <\/strong>Fatigue monitoring helps detect cumulative damage from repeated loads, enabling early intervention and extending the lifespan of critical infrastructure.<\/p>\n\n\n\n
<\/a>Related Documents:<\/u><\/strong><\/h3>\n\n\n\n
SeniMax\u2122 \u2013 Wireless Data Acquisition Gateway<\/a>
SenScope\u2122- Data Visualization Software<\/a><\/p>\n\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
Why Alert Fatigue Is a Growing Risk for Infrastructure Owners Digital monitoring has become essential for maintaining the safety and reliability of critical infrastructure. Bridges, transportation networks, industrial assets, and public facilities increasingly rely on sensor-based alerts to detect abnormal behavior. However, as monitoring coverage expands, many organizations encounter alert fatigue, a condition where excessive […]<\/p>\n","protected":false},"author":1,"featured_media":1923,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"nf_dc_page":"","footnotes":""},"categories":[7,5,22],"tags":[],"class_list":["post-1922","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-senspot","category-wireless-strain-sensor","category-wireless-vibration-acceleration-sensor","cat-7-id","cat-5-id","cat-22-id","has_thumb"],"yoast_head":"\n
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Optimized Lifecycle Management: <\/strong>Advanced monitoring reduces unplanned downtime, improves maintenance planning, and ensures resources are allocated based on actual structural condition rather than assumptions.
- Type C: <\/strong>Normal sampling with event detection and burst mode capability (up to 100 samples\/sec<\/strong>)<\/li>\n\n\n\n
- Type D: <\/strong>Normal sampling from 100 ms (10 samples\/sec) to 15 sec<\/strong>, without event detection<\/li>\n\n\n\n
- Reliable data acquisition across multiple sites<\/li>\n<\/ul>\n\n\n\n
- Reliable data acquisition across multiple sites<\/li>\n<\/ul>\n\n\n\n
- Trigger thresholds adjustable from 8 micro-strain to 512 micro-strain<\/strong><\/li>\n<\/ul>\n\n\n\n