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Suprabakti Mandiri partnered with Sensoteq to introduce the latest wireless reliability technology to the Indonesian market. Sensoteq specializes in advanced wireless condition monitoring technologies for the Industrial Internet of Things (IIoT), focusing on fault diagnosis and predictive maintenance.

Through wireless reliability technology, users can receive timely alerts whenever critical machine health parameters are exceeded. This proactive approach allows corrective measures to be implemented before major failures or health and safety incidents occur.

Detected FaultsSuitable for
ImbalancePumps and Fans
MisalignmentChillers and Compressors
Lubrication and Bearing FailuresMotors and Gearboxes
Pump CavitationTurbines
LoosenessScreens
Gear FaultsBearings
Structural IssuesCooling Towers

Sensors

Kappa X

Wireless 10kHz Vibration Sensor

The Kappa X is a wireless vibration sensor designed to monitor the condition of industrial equipment. It gathers vibration, temperature, and speed data from any rotating machinery, empowering proactive maintenance strategies across diverse industries.

This sensor equipped with wireless technology and a user-replaceable battery design, offers fault detection capabilities within a compact 25 mm size. This design unlocks easy mounting on virtually any rotating industrial equipment.

Sampling Frequency

The Kappa X sensor offers a high-resolution sampling rate (25.6 kHz) for in-depth vibration analysis of industrial machinery at various speeds (10 kHz FMAX, 6400 LOR). It seamlessly integrates with Sensoteq’s Analytix platform for advanced diagnostics via signal processing techniques like enveloping.

Smart Wake

The Kappa X intelligently utilizes vibration detection to enter a low-power state, maximizing battery life. It seamlessly resumes data capture upon machine startup, ensuring the critical first waveform is recorded.

Auto-Ranging

The Kappa X automatically adjusts its measurement range (from +/-8G to +/-64G) to effectively capture both subtle faults and high-energy vibrations in various machinery applications. This ensures every crucial detail, from minor anomalies to powerful process-induced signals, is noticed.

Tau E

Wireless digital stroke card

The Sensoteq Tau E is a wireless sensing solution designed for remote monitoring of mining and aggregate equipment. Specializing in vibration and temperature analysis for machine structures and bearings, Tau E employs Advanced Waveform Analysis and 3D Visualization to optimize uptime and performance.

Sensoteq Tau transforms machine health monitoring in the mineral processing industry by providing measurement capabilities. It monitors elliptical stroke, g-force, deflection, and bearing wear to warrant the reliability of heavy machinery.

Stroke Length

Achieving the optimal stroke length enhances screening effectiveness, reduces wear and energy consumption, and guarantees that output consistently meets the standards

G-Force

Maintaining appropriate vibration levels helps preserve structural integrity, minimize wear and tear, and extend the lifespan of machinery. This establishes efficient mineral separation and supports long-term operational reliability.

Deflection

Excessive deflection can lead to structural damage, reduced screening efficiency, and potential safety hazards. Operators can optimize machinery performance by accurately measuring and controlling deflection while upholding consistent product quality.

Uptime

Maximizing uptime is critical for productivity and cost efficiency in mineral processing operations. Tau E’s vibration sensors play a vital role in reducing disruptions, making sure reliable workflows, and maintaining operational continuity.

Chi

Portable Vibration Service tool kit

Sensoteq Chi is a Bluetooth toolkit designed for technicians, installers, and manufacturers to monitor machinery efficiency and health. It facilitates machine health monitoring through data transfer, software, and hardware, supporting multiple machine types and allowing comprehensive data analysis. Ideal for manufacturing, construction, and mining industries, it supports multi-sensor connectivity and data analysis.

Comprehensive Data Analysis

Measures waveforms, spectra, and natural frequencies for a complete view of machinery health, facilitating early problem detection and precise diagnosis.

Wireless Connectivity

Bluetooth provides real-time data access on mobile devices and cloud connectivity for efficient team collaboration and troubleshooting.

Cost Efficiency

Minimizes the need for multiple sensors and hardware expenses by integrating multiple capabilities into a single device.

Peripherals

Gateway

Integral Data Collector

The Gateway links the facility’s sensors to the Sensoteq Analytix cloud platform, allowing for data transmission over Wi-Fi, ethernet, or cellular data connections. It also monitors ambient temperature variations to provide detailed information about the operational conditions.

This Gateway takes data from sensors, converts it to Internet protocol, and sends it for viewing and analysis. Using the sensor’s registered sub-1GHz ISM band protocol allows reliable data relay over large-scale industrial environments, even in noisy environments. Sensoteq’s wireless gateway eliminates concerns about on-site internet connectivity while offering seamless and hassle-free operation.

Analytix

Diagnostic Dashboard

The Sensoteq Analytix platform provides a user-friendly interface for monitoring sensor data, presenting remote visualization, and analysis of machine performance. This cloud-based system stores data securely and allows users to access it anytime, anywhere.

Analytix simplifies complex vibration and temperature data with machine-specific algorithms into actionable insights, helping operators quickly identify underperforming or at-risk equipment. Notifications alert users when patterns deviate from expected norms, pinpointing mechanical or electrical issues.

The platform organizes data hierarchically, facilitating rapid issue identification. Users can customize their view with options like a traffic light system or delve into detailed waveforms and spectrums for advanced analysis.