Predictive maintenance helps reduce process downtime
December 28, 2017 | By CAS DataLoggers
Dec. 28, 2017 – As manufacturers continually search for ways to cut costs and increase ROI, machine monitoring and predictive maintenance (PdM) solutions are an increasingly cost-effective way for plants and factories to help reduce process downtime.
One of the most common data logger applications is machine monitoring for all types of commercial, industrial, utility and construction equipment. In the processing industry, condition monitoring of business-critical machines and electrical equipment is critical to help avoid process downtime and to maximize ROI.
If you’re a factory manager or plant supervisor, you can use sensor-based data acquisition to stay on top of developing problems with your electrical equipment. Both management and technicians can benefit from these cost-effective solutions.
In our latest whitepaper, CAS DataLoggers discusses the basics of condition monitoring and predictive maintenance for invaluable process machinery.
With the advent of the Internet of Things (IoT), heavy industry is turning to sensor-based data collection to solve its greatest problems, chief among them being process downtime in the form of process delays and shutdowns.
Machine monitoring, also known as condition monitoring or predictive maintenance, refers to the practice of monitoring electrical equipment via sensors to collect diagnostic data. To this end, data loggers and data acquisition systems are used to monitor all types of equipment including engines, motors, boilers and more, all with an eye toward ROI.
Condition monitoring is a steadily growing business practice, with the market totalling nearly $11 billion according to a 2017 report from Research & Markets magazine.
These applications also encompass many different types of needs aside from condition monitoring:
• Runtime/uptime measurement
• Preventative maintenance
• Performance tracking
• Energy monitoring/conservation
• Fault isolation
• Quality control
How does condition monitoring help prevent downtime?
As a plant manager or technician, you always need a heads-up of developing conditions in your facility’s equipment. Likewise, if you’re a purchasing agent, you’ll want to select the most appropriate monitoring device for your customer.
Machine monitoring can be either periodic or continual. Periodic measurements are performed according to either a regular schedule or are taken erratically. Periodic monitoring is reliable only if it is done according to a set schedule, for example by a supervisor at a set time every day, or automated by a data acquisition system. Meanwhile, continual measurements are performed constantly by data acquisition systems via automated sensor-based data collection. Continual monitoring has the considerable advantage of being more dependable and a clearer indicator of developing machine damage or impending process downtime.
Condition monitoring applications include:
• Heavy machinery
• Oil and gas
• Automotive and transportation
If you are the person using the data acquisition system, you’ll want to be sure that any prospective device not only suits your needs, but is also easy to learn and operate. Meanwhile, if you’re a purchasing agent sourcing a control system, you can help to decrease your client’s downtime hours (in the form of process delays and shutdowns) by sourcing a machine monitoring solution.
Machine monitoring basics
Condition monitoring solutions include:
• Data acquisition systems
• Data loggers
• Portable measurement systems
• Current/voltage loggers
• Vibration monitoring systems
Data acquisition/machine monitoring systems
Two major categories of products are used for condition monitoring:
1. Dedicated data loggers designed for a specific function such as temperature recording or AC voltage measurement. These solutions are ideal when you know beforehand that you only need to measure one or two values or if you need to save on cost.
For example, we provide dedicated event loggers to track machine runtime or parts count, AC power loggers to record incoming voltage and/or current, and vibration analyzers to look at the dynamic behaviour of rotating or moving equipment.
2. Universal input data loggers which can be outfitted with a variety of sensors to record many different parameters simultaneously such as temperature, current, voltage, pressure, flow or nearly any other value to track machine conditions in real time. While universal solutions are more flexible, they are also more expensive than single-purpose devices.
Data acquisition systems incorporate various internal or external sensor types (such as temperature, current and voltage) to continually acquire machine data and compare it to user-set parameters such as normal operating temperatures, energy and power factor.
For example, to monitor a boiler, the user might first attach a Type K thermocouple to its metal side, with leads trailing back to the data logger or data acquisition system. Then the operator configures the system to sample a reading from the thermocouple sensor, say once every 15 minutes. This step, often called data acquisition or data sampling, must be performed using accurate sensors and an accurate monitoring system to ensure reliable condition monitoring.
The monitoring device then stores this temperature data in its internal memory or, in the case of a wireless remote monitoring system, automatically transmits it to a remote PC or cloud storage server. Whether you’re performing periodic or continual monitoring, once you’ve collected enough data this way, it’s time to look at the condition of your machinery using specialized software.
Visualization and analysis software
Condition monitoring software allows users to visualize data from many distributed machines at once, and analyze this data to identify faults before they can further develop and cause downtime.
For example, in the middle of a production run, any sudden changes of any machine’s operating values can be instantly detected and responded to. Most importantly, maintenance work and process downtime can be scheduled and carried out in time to help avoid process delays and shutdowns, resulting in long-term ROI.
Data analysis is performed via specialized data acquisition software. Using a custom software application, data is analyzed according to user-set filters and portrayed in trend form via charts and tables showing what maintenance or repair actions are needed, if any.
A complete software system will offer you data acquisition, analysis, visualization and automation. The end-user should be able to get a clear and logical overview of all measurement systems, no matter how many machines are being monitored. Armed with this data, plant supervisors and technicians can then make presentations to management.
Which measurement value should you monitor?
Temperature is the most commonly measured value, and many machine monitoring applications require you to log temperature in tandem with another value.
Temperature recorders satisfy the needs of many different applications including:
• Electrical equipment monitoring (motors, turbines, etc.)
• Oven temperature profiling (part finishing, batch ovens, etc.)
• R&D (climate chambers, test stands, etc.)
Temperature data loggers are suitable for use with all common types of temperature sensors, including thermocouples, RTDs and thermistors. The market offers a broad selection of temperature data loggers with a wide variety of features, communication options, storage and notification capabilities to meet your project needs. Temperature recorders are available with or without displays, with wireless and LAN communication, and multi-channel systems with hundreds of inputs.
A common data logging application is measuring voltage and current flowing into or out of a piece of equipment, such as a user monitoring current in wind turbines. These measurements can be broadly classified into two groups: AC and DC.
• AC voltage and current
A common voltage measurement application involves taking readings to ensure that a given piece of equipment is operating within its manufacturer’s recommended voltage range.
A variety of AC voltage and current data loggers are available with built-in transducers to support a specific voltage and/or current range. However with a few exceptions, most data loggers cannot measure AC voltage or current directly and so require external transducers to convert the parameter of interest into a signal that the data logger can measure.
• DC current and voltage
Many data loggers are specifically designed for measurement of DC voltage and DC current. Some are designed for specific measurements which are easier to set-up but offer less flexibility. There are also general-purpose data loggers that can measure DC voltage, current and other input signal types. Depending on the levels involved, some data logger models can directly measure DC voltage and current.
• Universal input
If you must monitor a mix of AC and DC voltage and/or current inputs, or if your voltage/current ranges are beyond standard input ranges, you can use a Universal Input logger. These loggers allow measurement of most voltages and currents found in industrial applications.
These loggers also allow the measurement of other input signal types besides voltage and current, and can be outfitted with transducers suitable for up to hundreds or thousands of amps that work with general-purpose data loggers. This also enables the simultaneous measurement of multiple input signal types. Users can measure almost any type of input – from mV and uAmps to thousands of volts or amps.
These solutions can measure voltage, current, thermocouples, strain gauges, and many other sensor types. While universal dataloggers are more expensive than single-purpose loggers, they can greatly simplify more complex data logging projects, saving both time and money. This flexibility provides you with several convenient advantages:
• You can move the logger from project to project without having to reconfigure the hardware
• Simultaneous monitoring of multiple variables with one data logger, for example, recording temperature using a thermocouple, logging voltage using a pressure sensor, and monitoring the pulse output using a flow meter.
• No matter what signal you’re logging, you use the same software without needing to purchase additional packages or modules.
Remote monitoring and data transmission in plants
To transmit and store all this data, many factories and plants opt for a remote data acquisition system capable of continuous data acquisition and evaluation. If you plan on replacing your facility’s legacy systems or redundant equipment, you’ll find that modern, PC-based data acquisition technology is a convenient solution for predictive maintenance.
To get a heads-up on developing issues before they result in downtime, users rely on a variety of communications features to transfer data and alarm notifications to PCs or networks. This can be done via WiFi, Ethernet, Serial, FTP, cellular modem, and more. Cloud-based storage is another viable option.
Remote monitoring systems can perform:
• Independent data acquisition
• Data Recording of analogue and digital signals
• Remote monitoring of data
• Data processing
Remote systems are also useful for immediate alarm notification via SMS text message in the event of limit violations, such as an overheated motor or a high tank temperature. For this crucial failsafe, ensure that your prospective solution supports connection to your production and office networks and to the process control system (PLCs, etc.).
Plant application features:
• Independent data acquisition
• Online (remote) access to all measurement data and status information
• Instant alarm and fault notification via email and text messaging
• Automated offline data transmission at preset intervals via a scheduler
For example, in fault diagnostics in machinery and plants, typical remote applications include the evaluation of pressure pulses and surges, fast process monitoring and controller optimization, shock and vibration measurement, and materials research and environmental simulation. When every minute counts, make sure you’re immediately made aware the moment your process is threatened.
Do you need control capability?
If you need control capability for your machine monitoring application, many intelligent monitoring systems integrate this functionality. Recording in standalone mode fully-independently from the PC, a control system performs:
• Pre- and post-trigger functions
• Synchronized data acquisition (angular and chronological)
• Evaluation of limit values and alarm capability
• Data reduction by online calculation of condensed parameters
Machine and plant limit values can all be adjusted in the GUI (graphical user interface) on the PC. Likewise, multiple machine states can be controlled and visualized using the same user interface.
By integrating real-time data visualization into your production process, you’ll have the data to see how any given operation conditions are impacting your equipment’s characteristics. This setup also gives you a convenient way to instantly judge your compliance with specific process values (temperature, current/voltage, etc.).
Condition monitoring, or predictive maintenance, is a detailed but rewarding method to help prevent process downtime in your factory or plant. By closely monitoring your operation-critical machinery and providing process overwatch, data acquisition systems can aid your business in the form of long-term stability and ROI.